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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #100
DNA: Domain Generalization with Diversified Neural Averaging
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #102
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #104
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #106
Channel Importance Matters in Few-Shot Image Classification
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #231
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #108
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #110
Certified Robustness Against Natural Language Attacks by Causal Intervention
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #112
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #114
On the Learning of Non-Autoregressive Transformers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #116
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #118
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #120
Black-Box Tuning for Language-Model-as-a-Service
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #122
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #124
Co-training Improves Prompt-based Learning for Large Language Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #126
Directed Acyclic Transformer for Non-Autoregressive Machine Translation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #128
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #133
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #131
Generative Cooperative Networks for Natural Language Generation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #129
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #127
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #125
Robust Group Synchronization via Quadratic Programming
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #123
UAST: Uncertainty-Aware Siamese Tracking
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #119
You Only Cut Once: Boosting Data Augmentation with a Single Cut
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #117
Generative Modeling for Multi-task Visual Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #115
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #113
Parametric Visual Program Induction with Function Modularization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #111
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #109
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #107
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #105
Time Is MattEr: Temporal Self-supervision for Video Transformers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #208
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #210
Understanding The Robustness in Vision Transformers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #212
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #214
On the Effects of Artificial Data Modification
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #216
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #218
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #220
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #222
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #226
Describing Differences between Text Distributions with Natural Language
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #228
Distinguishing rule- and exemplar-based generalization in learning systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #230
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #232
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #234
Minimizing Control for Credit Assignment with Strong Feedback
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #236
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #237
Towards Scaling Difference Target Propagation by Learning Backprop Targets
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #235
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #233
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #229
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #227
Provably Adversarially Robust Nearest Prototype Classifiers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #225
Certifying Out-of-Domain Generalization for Blackbox Functions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #223
Intriguing Properties of Input-Dependent Randomized Smoothing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #221
To Smooth or Not? When Label Smoothing Meets Noisy Labels
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #219
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #217
On the Generalization Analysis of Adversarial Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #215
Demystifying the Adversarial Robustness of Random Transformation Defenses
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #213
Double Sampling Randomized Smoothing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #211
TPC: Transformation-Specific Smoothing for Point Cloud Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #209
Structural Entropy Guided Graph Hierarchical Pooling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #207
Self-Supervised Representation Learning via Latent Graph Prediction
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #205
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #203
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #201
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #300
Analyzing and Mitigating Interference in Neural Architecture Search
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #302
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #304
Unified Scaling Laws for Routed Language Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #306
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #308
A deep convolutional neural network that is invariant to time rescaling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #310
LyaNet: A Lyapunov Framework for Training Neural ODEs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #312
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #314
On Collective Robustness of Bagging Against Data Poisoning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #316
Hindering Adversarial Attacks with Implicit Neural Representations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Virtual #318
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #320
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #322
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #324
Controlling Conditional Language Models without Catastrophic Forgetting
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #326
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #328
Structure-preserving GANs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #330
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #332
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #334
Equivariant Diffusion for Molecule Generation in 3D
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #336
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #338
Conditional GANs with Auxiliary Discriminative Classifier
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #337
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #335
Matching Normalizing Flows and Probability Paths on Manifolds
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #333
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #331
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #329
Region-Based Semantic Factorization in GANs
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #327
Online Continual Learning through Mutual Information Maximization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #325
Learning Iterative Reasoning through Energy Minimization
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #323
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #321
PoF: Post-Training of Feature Extractor for Improving Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #319
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #317
Set Based Stochastic Subsampling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #315
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #313
Generalizing to New Physical Systems via Context-Informed Dynamics Model
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #311
Self-conditioning Pre-Trained Language Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #309
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #307
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #305
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #303
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #301
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #400
pathGCN: Learning General Graph Spatial Operators from Paths
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #402
Graph-Coupled Oscillator Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #404
HousE: Knowledge Graph Embedding with Householder Parameterization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #406
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #408
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #410
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #412
SpeqNets: Sparsity-aware permutation-equivariant graph networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #414
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #416
Position Prediction as an Effective Pretraining Strategy
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #418
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #420
Deep and Flexible Graph Neural Architecture Search
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #422
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #424
Large-Scale Graph Neural Architecture Search
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #426
Optimization-Induced Graph Implicit Nonlinear Diffusion
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #428
Prototype Based Classification from Hierarchy to Fairness
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #432
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #434
Deep Probability Estimation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #436
Uncertainty Modeling in Generative Compressed Sensing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #438
Going Deeper into Permutation-Sensitive Graph Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #439
Learning from Counterfactual Links for Link Prediction
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #437
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #435
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #431
Bit Prioritization in Variational Autoencoders via Progressive Coding
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #429
Generative Flow Networks for Discrete Probabilistic Modeling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #427
Diffusion bridges vector quantized variational autoencoders
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #425
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #423
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #421
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #419
Modeling Irregular Time Series with Continuous Recurrent Units
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #417
TACTiS: Transformer-Attentional Copulas for Time Series
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #415
CerDEQ: Certifiable Deep Equilibrium Model
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #413
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #411
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #409
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #407
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #405
Improving Language Models by Retrieving from Trillions of Tokens
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #403
Closed-Form Diffeomorphic Transformations for Time Series Alignment
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #401
Removing Batch Normalization Boosts Adversarial Training
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #500
Forget-free Continual Learning with Winning Subnetworks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #502
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #504
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #506
On the Practicality of Deterministic Epistemic Uncertainty
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #508
Combining Diverse Feature Priors
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #510
Multi-Task Learning as a Bargaining Game
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #512
Frustratingly Easy Transferability Estimation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #514
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #516
A Difference Standardization Method for Mutual Transfer Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #518
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #520
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #522
Sparse Invariant Risk Minimization
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #524
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #526
A Closer Look at Smoothness in Domain Adversarial Training
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #528
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #532
Zero-shot AutoML with Pretrained Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #534
Efficient Variance Reduction for Meta-learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #536
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #538
Partial disentanglement for domain adaptation
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #539
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #537
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #535
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #533
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #529
Meta-Learning Hypothesis Spaces for Sequential Decision-making
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #527
A Tighter Analysis of Spectral Clustering, and Beyond
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #525
Online Active Regression
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #523
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #521
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #519
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #517
Confidence Score for Source-Free Unsupervised Domain Adaptation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #515
Gradient Based Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Global Optimization of K-Center Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #511
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #509
Coordinated Double Machine Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #507
Exploiting Independent Instruments: Identification and Distribution Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #505
Partial Counterfactual Identification from Observational and Experimental Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #503
On Measuring Causal Contributions via do-interventions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #501
The Role of Deconfounding in Meta-learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #600
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #602
Online Balanced Experimental Design
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Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #604
Minimum Cost Intervention Design for Causal Effect Identification
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #606
Causal structure-based root cause analysis of outliers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #608
Instrumental Variable Regression with Confounder Balancing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #610
Causal Transformer for Estimating Counterfactual Outcomes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #612
Causal Inference Through the Structural Causal Marginal Problem
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #614
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #616
Matching Learned Causal Effects of Neural Networks with Domain Priors
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #618
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #620
Exact Optimal Accelerated Complexity for Fixed-Point Iterations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #624
NysADMM: faster composite convex optimization via low-rank approximation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #626
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #628
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #630
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #632
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #634
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #636
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #638
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #639
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #637
Active Sampling for Min-Max Fairness
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #635
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #633
Stochastic Reweighted Gradient Descent
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #631
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #629
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #627
FedNL: Making Newton-Type Methods Applicable to Federated Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #625
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #623
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #621
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #619
Probabilistic Bilevel Coreset Selection
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #617
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #615
On Implicit Bias in Overparameterized Bilevel Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #613
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #611
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #609
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #607
Understanding the unstable convergence of gradient descent
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #605
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #603
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #601
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #700
AdaGrad Avoids Saddle Points
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #702
Fast and Provable Nonconvex Tensor RPCA
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #704
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #706
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #708
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #710
Anticorrelated Noise Injection for Improved Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #712
Tackling covariate shift with node-based Bayesian neural networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #714
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #716
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #718
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #720
Calibrated Learning to Defer with One-vs-All Classifiers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #722
Tractable Uncertainty for Structure Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #724
Path-Gradient Estimators for Continuous Normalizing Flows
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #726
Variational Feature Pyramid Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #728
Additive Gaussian Processes Revisited
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #732
Probabilistic ODE Solutions in Millions of Dimensions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #734
Adaptive Gaussian Process Change Point Detection
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #736
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #738
Fenrir: Physics-Enhanced Regression for Initial Value Problems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #739
Variational nearest neighbor Gaussian process
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #737
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #735
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #733
Bayesian Optimization under Stochastic Delayed Feedback
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #731
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #729
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #727
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #725
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #723
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #721
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #719
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #717
LSB: Local Self-Balancing MCMC in Discrete Spaces
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #715
A Langevin-like Sampler for Discrete Distributions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #711
Nonparametric Involutive Markov Chain Monte Carlo
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #709
Continual Repeated Annealed Flow Transport Monte Carlo
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #707
Algorithms for the Communication of Samples
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #705
Low-Precision Stochastic Gradient Langevin Dynamics
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #703
Fast Relative Entropy Coding with A* coding
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #701
Accurate Quantization of Measures via Interacting Particle-based Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #800
Dynamic Regret of Online Markov Decision Processes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #802
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #804
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #806
Provable Reinforcement Learning with a Short-Term Memory
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #808
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #810
Mirror Learning: A Unifying Framework of Policy Optimisation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #812
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #814
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #816
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #818
Langevin Monte Carlo for Contextual Bandits
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #820
Prompting Decision Transformer for Few-Shot Policy Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #824
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #826
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #828
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #830
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #832
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #834
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #836
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #838
Offline RL Policies Should Be Trained to be Adaptive
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #837
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #835
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #833
Supervised Off-Policy Ranking
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #829
The Primacy Bias in Deep Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #827
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #825
Model-Free Opponent Shaping
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #823
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #821
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #819
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #817
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #815
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #813
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #811
Self-Organized Polynomial-Time Coordination Graphs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #809
Individual Reward Assisted Multi-Agent Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #807
Generalized Beliefs for Cooperative AI
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #805
Greedy when Sure and Conservative when Uncertain about the Opponents
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #803
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #801
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #900
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #902
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #904
Differentially Private Approximate Quantiles
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #906
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #908
Robust Models Are More Interpretable Because Attributions Look Normal
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #910
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #912
A Joint Exponential Mechanism For Differentially Private Top-$k$
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #914
Transfer Learning In Differential Privacy's Hybrid-Model
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #916
Robust Kernel Density Estimation with Median-of-Means principle
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #918
Bounding Training Data Reconstruction in Private (Deep) Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #920
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #922
FriendlyCore: Practical Differentially Private Aggregation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #924
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #926
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #928
Public Data-Assisted Mirror Descent for Private Model Training
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #930
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #932
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #934
Meaningfully debugging model mistakes using conceptual counterfactual explanations
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #936
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #929
Robust Counterfactual Explanations for Tree-Based Ensembles
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #927
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #923
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #921
Framework for Evaluating Faithfulness of Local Explanations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #919
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #915
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #913
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #911
XAI for Transformers: Better Explanations through Conservative Propagation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #909
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #907
Interpretable Off-Policy Learning via Hyperbox Search
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #905
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #903
On the Adversarial Robustness of Causal Algorithmic Recourse
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1002
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1004
POEM: Out-of-Distribution Detection with Posterior Sampling
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1006
Selective Network Linearization for Efficient Private Inference
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1008
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1010
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1012
Modular Conformal Calibration
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1014
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1018
Context-Aware Drift Detection
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1020
Accelerating Shapley Explanation via Contributive Cooperator Selection
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1026
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1028
Sample Efficient Learning of Predictors that Complement Humans
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1027
Online Learning for Min Sum Set Cover and Pandora’s Box
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1025
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1023
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1021
Thompson Sampling for (Combinatorial) Pure Exploration
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1019
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1017
Rotting Infinitely Many-Armed Bandits
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1013
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1011
Consistent Polyhedral Surrogates for Top-k Classification and Variants
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1009
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1007
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1001
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1003
Learning Mixtures of Linear Dynamical Systems
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1106
Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1108
Residual-Based Sampling for Online Outlier-Robust PCA
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1110
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1112
Streaming Algorithms for Support-Aware Histograms
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1114
Power-Law Escape Rate of SGD
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1116
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1118
Faster Algorithms for Learning Convex Functions
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1120
Feature selection using e-values
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1122
ActiveHedge: Hedge meets Active Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1124
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1126
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1125
Robustness Implies Generalization via Data-Dependent Generalization Bounds
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1123
Learning to Hash Robustly, Guaranteed
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1121
Policy Gradient Method For Robust Reinforcement Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1119
A query-optimal algorithm for finding counterfactuals
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1117
Linear Bandit Algorithms with Sublinear Time Complexity
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1115
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1113
Individual Preference Stability for Clustering
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1111
Correlated Quantization for Distributed Mean Estimation and Optimization
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1109
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1107
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1101
The Algebraic Path Problem for Graph Metrics
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Virtual #1103
Steerable 3D Spherical Neurons
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1206
H-Consistency Bounds for Surrogate Loss Minimizers
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1208
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1210
The Teaching Dimension of Regularized Kernel Learners
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1212
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1214
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1216
Multiclass learning with margin: exponential rates with no bias-variance trade-off
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1218
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1220
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1222
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1224
Inductive Biases and Variable Creation in Self-Attention Mechanisms
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1221
Topology-aware Generalization of Decentralized SGD
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1219
Understanding Gradient Descent on the Edge of Stability in Deep Learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1217
Cooperative Online Learning in Stochastic and Adversarial MDPs
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1215
Simple and near-optimal algorithms for hidden stratification and multi-group learning
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1213
Being Properly Improper
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1211
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1207
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1209
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1310
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1312
Minimax M-estimation under Adversarial Contamination
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1314
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
[
Paper PDF]
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1316
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1318
Boosting Graph Structure Learning with Dummy Nodes
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1320
Lazy Estimation of Variable Importance for Large Neural Networks
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #100
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #102
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #104
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #106
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #108
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #110
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #112
De novo mass spectrometry peptide sequencing with a transformer model
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #114
Learning inverse folding from millions of predicted structures
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #116
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #118
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #120
Proximal Exploration for Model-guided Protein Sequence Design
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #124
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #126
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #128
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #133
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #131
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #129
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #127
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #125
Generative Coarse-Graining of Molecular Conformations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #123
LIMO: Latent Inceptionism for Targeted Molecule Generation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #121
Learning to Separate Voices by Spatial Regions
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #119
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #117
3D Infomax improves GNNs for Molecular Property Prediction
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #115
Biological Sequence Design with GFlowNets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #113
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #111
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #109
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #107
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #105
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #208
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #210
Matching Structure for Dual Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #212
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #214
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #216
Inducing Causal Structure for Interpretable Neural Networks
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #218
SDQ: Stochastic Differentiable Quantization with Mixed Precision
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #220
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #222
Re-evaluating Word Mover's Distance
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #224
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #231
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #226
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #228
Symmetric Machine Theory of Mind
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #230
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #232
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #234
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #236
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #237
Towards understanding how momentum improves generalization in deep learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #235
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #233
Deep equilibrium networks are sensitive to initialization statistics
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #229
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #227
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #225
Local Augmentation for Graph Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #223
On Non-local Convergence Analysis of Deep Linear Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #221
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #219
Diversified Adversarial Attacks based on Conjugate Gradient Method
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #217
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #215
On the Equivalence Between Temporal and Static Equivariant Graph Representations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #213
Robust Training under Label Noise by Over-parameterization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #211
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #209
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #207
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #205
On Numerical Integration in Neural Ordinary Differential Equations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #203
Reverse Engineering the Neural Tangent Kernel
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #201
Principled Knowledge Extrapolation with GANs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #300
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #302
Data Augmentation as Feature Manipulation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #304
Convolutional and Residual Networks Provably Contain Lottery Tickets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #306
Feature Learning and Signal Propagation in Deep Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #308
Robust Training of Neural Networks Using Scale Invariant Architectures
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #310
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #312
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #314
Deep Network Approximation in Terms of Intrinsic Parameters
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #316
Coin Flipping Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #318
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #320
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #322
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #324
From data to functa: Your data point is a function and you can treat it like one
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #326
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #328
Differentiable Top-k Classification Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #330
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #332
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #334
Training Your Sparse Neural Network Better with Any Mask
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #336
Federated Learning with Positive and Unlabeled Data
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #338
Generating 3D Molecules for Target Protein Binding
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #337
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #335
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #333
Revisiting Consistency Regularization for Deep Partial Label Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #331
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #329
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #327
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #325
Multicoated Supermasks Enhance Hidden Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #323
Generating Distributional Adversarial Examples to Evade Statistical Detectors
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #321
Improving Out-of-Distribution Robustness via Selective Augmentation
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #319
Modeling Adversarial Noise for Adversarial Training
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #317
Improving Adversarial Robustness via Mutual Information Estimation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #315
FOCUS: Familiar Objects in Common and Uncommon Settings
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #313
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #311
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #309
A Dynamical System Perspective for Lipschitz Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #307
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #305
Neurotoxin: Durable Backdoors in Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #303
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #301
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #400
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #402
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #404
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #406
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #408
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #410
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #412
Modeling Structure with Undirected Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #414
Certified Neural Network Watermarks with Randomized Smoothing
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #416
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #418
Adversarial Vulnerability of Randomized Ensembles
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #420
Robustness Verification for Contrastive Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #422
The CLRS Algorithmic Reasoning Benchmark
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #424
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #426
Understanding Robust Generalization in Learning Regular Languages
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #428
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #432
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #434
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #436
Short-Term Plasticity Neurons Learning to Learn and Forget
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #438
$p$-Laplacian Based Graph Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #439
Equivariant Quantum Graph Circuits
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #437
A Theoretical Comparison of Graph Neural Network Extensions
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #435
Variational On-the-Fly Personalization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #433
Deep symbolic regression for recurrence prediction
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #431
Geometric Multimodal Contrastive Representation Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #429
Universality of Winning Tickets: A Renormalization Group Perspective
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #427
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #425
Loss Function Learning for Domain Generalization by Implicit Gradient
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #423
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #421
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #419
A Differential Entropy Estimator for Training Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #417
Scaling Out-of-Distribution Detection for Real-World Settings
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #415
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #413
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #411
The Infinite Contextual Graph Markov Model
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #409
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #407
Detached Error Feedback for Distributed SGD with Random Sparsification
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #405
Training OOD Detectors in their Natural Habitats
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #403
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #401
Neural Tangent Kernel Empowered Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #500
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #502
Adversarially trained neural representations are already as robust as biological neural representations
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #504
Feature Space Particle Inference for Neural Network Ensembles
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #506
A Study on the Ramanujan Graph Property of Winning Lottery Tickets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #508
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #510
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #512
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #514
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #516
Towards Understanding Sharpness-Aware Minimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #518
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #520
Implicit Bias of Linear Equivariant Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #522
The State of Sparse Training in Deep Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #524
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #526
Datamodels: Understanding Predictions with Data and Data with Predictions
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #528
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Deep Causal Metric Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #532
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #534
Learning Symmetric Embeddings for Equivariant World Models
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #536
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #538
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #539
Auxiliary Learning with Joint Task and Data Scheduling
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #537
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #535
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #533
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #529
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #527
Weisfeiler-Lehman Meets Gromov-Wasserstein
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #525
GenLabel: Mixup Relabeling using Generative Models
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #523
When and How Mixup Improves Calibration
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #521
On Transportation of Mini-batches: A Hierarchical Approach
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #519
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #517
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #515
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Stable Conformal Prediction Sets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #511
Rethinking Fano’s Inequality in Ensemble Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #509
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #507
Improving Mini-batch Optimal Transport via Partial Transportation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #505
Near-optimal rate of consistency for linear models with missing values
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #503
Permutation Search of Tensor Network Structures via Local Sampling
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #501
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #600
DNNR: Differential Nearest Neighbors Regression
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #602
HyperPrompt: Prompt-based Task-Conditioning of Transformers
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #604
Validating Causal Inference Methods
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #606
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #608
Scalable Deep Gaussian Markov Random Fields for General Graphs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #610
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #612
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #614
Decomposing Temporal High-Order Interactions via Latent ODEs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #616
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #618
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #620
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Role-based Multiplex Network Embedding
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #624
Measure Estimation in the Barycentric Coding Model
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #626
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #628
Counterfactual Transportability: A Formal Approach
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #630
Identification of Linear Non-Gaussian Latent Hierarchical Structure
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #632
COAT: Measuring Object Compositionality in Emergent Representations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #634
Generalization and Robustness Implications in Object-Centric Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #636
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #638
Action-Sufficient State Representation Learning for Control with Structural Constraints
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #639
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #637
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #635
Efficient Online ML API Selection for Multi-Label Classification Tasks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #633
Entropic Causal Inference: Graph Identifiability
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #631
Architecture Agnostic Federated Learning for Neural Networks
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #629
Conformal Prediction Sets with Limited False Positives
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #627
Scalable Computation of Causal Bounds
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #625
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #623
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #621
A Statistical Manifold Framework for Point Cloud Data
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #619
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #617
Partial Label Learning via Label Influence Function
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #615
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #613
Understanding Robust Overfitting of Adversarial Training and Beyond
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #611
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #609
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #607
Supervised Learning with General Risk Functionals
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #605
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #603
Fast Composite Optimization and Statistical Recovery in Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #601
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #700
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #702
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #704
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #706
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #708
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #710
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #712
Communication-Efficient Adaptive Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #714
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #716
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #718
Accelerated Federated Learning with Decoupled Adaptive Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #720
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #722
TSPipe: Learn from Teacher Faster with Pipelines
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #724
Personalized Federated Learning through Local Memorization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #726
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #728
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #732
Generalizing Gaussian Smoothing for Random Search
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #734
A General Recipe for Likelihood-free Bayesian Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #736
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #738
Risk-Averse No-Regret Learning in Online Convex Games
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #739
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #737
Robust Multi-Objective Bayesian Optimization Under Input Noise
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #735
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #733
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #731
The power of first-order smooth optimization for black-box non-smooth problems
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #729
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #727
Surrogate Likelihoods for Variational Annealed Importance Sampling
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #725
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #723
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #721
Variational Sparse Coding with Learned Thresholding
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #719
Structured Stochastic Gradient MCMC
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #717
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #715
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #713
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #711
Deep Reference Priors: What is the best way to pretrain a model?
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #707
Bayesian Continuous-Time Tucker Decomposition
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #705
Approximate Bayesian Computation with Domain Expert in the Loop
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #703
Discrete Probabilistic Inverse Optimal Transport
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #701
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #800
Streaming Inference for Infinite Feature Models
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #802
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #804
Function-space Inference with Sparse Implicit Processes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #806
Variational Inference for Infinitely Deep Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #808
Personalized Federated Learning via Variational Bayesian Inference
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #810
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #812
Bayesian Deep Embedding Topic Meta-Learner
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #814
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #816
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #818
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #820
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #822
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #824
Generalized Data Distribution Iteration
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #826
Optimizing Tensor Network Contraction Using Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #828
History Compression via Language Models in Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #830
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #832
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #834
Efficient Learning for AlphaZero via Path Consistency
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #836
A data-driven approach for learning to control computers
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #838
Zero-Shot Reward Specification via Grounded Natural Language
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #837
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #835
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #833
Improving Policy Optimization with Generalist-Specialist Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #829
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #827
Analysis of Stochastic Processes through Replay Buffers
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #825
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #823
Communicating via Markov Decision Processes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #821
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #819
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #817
Planning with Diffusion for Flexible Behavior Synthesis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #815
A Temporal-Difference Approach to Policy Gradient Estimation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #813
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #811
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #809
Actor-Critic based Improper Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #807
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #805
The Geometry of Robust Value Functions
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #803
Denoised MDPs: Learning World Models Better Than the World Itself
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #801
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #900
Bayesian Nonparametrics for Offline Skill Discovery
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #902
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #904
Curriculum Reinforcement Learning via Constrained Optimal Transport
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #906
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #908
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #910
Constrained Offline Policy Optimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #912
Causal Dynamics Learning for Task-Independent State Abstraction
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #914
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #916
Reinforcement Learning with Action-Free Pre-Training from Videos
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #918
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #920
Delayed Reinforcement Learning by Imitation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #922
Reachability Constrained Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #924
Adaptive Model Design for Markov Decision Process
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #926
Goal Misgeneralization in Deep Reinforcement Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #928
A Natural Actor-Critic Framework for Zero-Sum Markov Games
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #930
Distributionally Robust $Q$-Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #932
Sparsity in Partially Controllable Linear Systems
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Virtual #934
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #936
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #929
Label-Free Explainability for Unsupervised Models
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #927
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #923
A Study of Face Obfuscation in ImageNet
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #921
Fair Representation Learning through Implicit Path Alignment
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #919
Mitigating Neural Network Overconfidence with Logit Normalization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #915
Learning fair representation with a parametric integral probability metric
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #913
Privacy for Free: How does Dataset Condensation Help Privacy?
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #911
Fair Generalized Linear Models with a Convex Penalty
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #909
Tight and Robust Private Mean Estimation with Few Users
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #907
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #905
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #903
Sanity Simulations for Saliency Methods
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1002
Out-of-Distribution Detection with Deep Nearest Neighbors
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1004
Differentially Private Maximal Information Coefficients
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1006
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1008
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1010
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1012
Certified Adversarial Robustness Under the Bounded Support Set
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1014
Predicting Out-of-Distribution Error with the Projection Norm
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1018
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1020
Improved Regret for Differentially Private Exploration in Linear MDP
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1022
Differentially Private Community Detection for Stochastic Block Models
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1026
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1028
Hermite Polynomial Features for Private Data Generation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1027
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1025
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1023
Private frequency estimation via projective geometry
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1021
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1019
Faster Privacy Accounting via Evolving Discretization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1017
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1015
Private Adaptive Optimization with Side information
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1013
Secure Quantized Training for Deep Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1011
Private optimization in the interpolation regime: faster rates and hardness results
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1009
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1007
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1001
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1003
Adaptive Data Analysis with Correlated Observations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1106
Efficient PAC Learning from the Crowd with Pairwise Comparisons
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1108
On the Statistical Benefits of Curriculum Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1110
Feature and Parameter Selection in Stochastic Linear Bandits
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1112
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1114
A new similarity measure for covariate shift with applications to nonparametric regression
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1116
Contextual Bandits with Large Action Spaces: Made Practical
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1118
Identifiability Conditions for Domain Adaptation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1120
Streaming Algorithms for High-Dimensional Robust Statistics
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1122
Popular decision tree algorithms are provably noise tolerant
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1124
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1126
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1125
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1123
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1121
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1119
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1117
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1115
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1113
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1111
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1109
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1107
Learning to Infer Structures of Network Games
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1101
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1103
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1206
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1208
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1210
On the Finite-Time Performance of the Knowledge Gradient Algorithm
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1212
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1214
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1216
No-Regret Learning in Time-Varying Zero-Sum Games
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1218
Achieving Minimax Rates in Pool-Based Batch Active Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1220
Active Multi-Task Representation Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1222
Active fairness auditing
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1224
Metric-Fair Active Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1221
Metric-Fair Classifier Derandomization
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1219
Interactively Learning Preference Constraints in Linear Bandits
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1217
Convergence of Uncertainty Sampling for Active Learning
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1215
Thompson Sampling for Robust Transfer in Multi-Task Bandits
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1213
Constants Matter: The Performance Gains of Active Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1211
Cross-Space Active Learning on Graph Convolutional Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1207
Generative Trees: Adversarial and Copycat
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1209
A Resilient Distributed Boosting Algorithm
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1310
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1312
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1314
Congested Bandits: Optimal Routing via Short-term Resets
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1316
Stochastic Rising Bandits
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1318
Agnostic Learnability of Halfspaces via Logistic Loss
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1320
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1319
PDE-Based Optimal Strategy for Unconstrained Online Learning
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1317
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1315
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1309
Random Forest Density Estimation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1311
The dynamics of representation learning in shallow, non-linear autoencoders
[
Paper PDF]
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1409
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1414
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1416
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1418
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1411
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1413
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1420
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1422
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1424
Efficient Learning of CNNs using Patch Based Features
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1426
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1428
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1430
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1432
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1434
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #100
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #102
Composing Partial Differential Equations with Physics-Aware Neural Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #104
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #106
Towards Coherent and Consistent Use of Entities in Narrative Generation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #110
Optimally Controllable Perceptual Lossy Compression
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #112
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #114
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #116
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #118
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #120
An Intriguing Property of Geophysics Inversion
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #122
Particle Transformer for Jet Tagging
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #124
BabelTower: Learning to Auto-parallelized Program Translation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #126
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #128
On Distribution Shift in Learning-based Bug Detectors
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #133
A Context-Integrated Transformer-Based Neural Network for Auction Design
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #131
Domain Adaptation for Time Series Forecasting via Attention Sharing
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #129
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #127
Disentangling Disease-related Representation from Obscure for Disease Prediction
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #125
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #123
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #121
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #119
Do Differentiable Simulators Give Better Policy Gradients?
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #117
Adaptive Conformal Predictions for Time Series
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #115
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #113
Rethinking Graph Neural Networks for Anomaly Detection
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #111
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #109
Proving Theorems using Incremental Learning and Hindsight Experience Replay
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #107
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #105
Neural Inverse Kinematic
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #208
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #210
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #212
Object Permanence Emerges in a Random Walk along Memory
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #214
Flow-Guided Sparse Transformer for Video Deblurring
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #216
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #218
Staged Training for Transformer Language Models
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #220
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #222
Self-supervised learning with random-projection quantizer for speech recognition
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #224
Learning Multiscale Transformer Models for Sequence Generation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #226
NP-Match: When Neural Processes meet Semi-Supervised Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #228
Revisiting End-to-End Speech-to-Text Translation From Scratch
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #230
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #232
Dialog Inpainting: Turning Documents into Dialogs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #234
Does the Data Induce Capacity Control in Deep Learning?
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #236
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #237
Memory-Based Model Editing at Scale
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #235
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #233
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #229
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #227
Overcoming Oscillations in Quantization-Aware Training
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #225
Dataset Condensation via Efficient Synthetic-Data Parameterization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #223
Searching for BurgerFormer with Micro-Meso-Macro Space Design
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #221
Multi-scale Feature Learning Dynamics: Insights for Double Descent
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #219
Dataset Condensation with Contrastive Signals
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #217
Equivariant Priors for compressed sensing with unknown orientation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #215
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #213
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #211
A Neural Tangent Kernel Perspective of GANs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #209
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #207
Neural Inverse Transform Sampler
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #205
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #203
Diffusion Models for Adversarial Purification
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #201
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #300
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #302
It’s Raw! Audio Generation with State-Space Models
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #304
Unsupervised Image Representation Learning with Deep Latent Particles
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #306
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #308
Neuro-Symbolic Hierarchical Rule Induction
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #310
General-purpose, long-context autoregressive modeling with Perceiver AR
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #312
Marginal Tail-Adaptive Normalizing Flows
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #314
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #316
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #318
Equivariance versus Augmentation for Spherical Images
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #320
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #322
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #324
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #326
GACT: Activation Compressed Training for Generic Network Architectures
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #328
Fast Finite Width Neural Tangent Kernel
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #330
G-Mixup: Graph Data Augmentation for Graph Classification
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #332
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #334
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #336
Continual Learning with Guarantees via Weight Interval Constraints
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #338
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #337
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #335
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #333
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #331
Adversarial Masking for Self-Supervised Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #329
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #327
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #325
Multirate Training of Neural Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #323
Variational Wasserstein gradient flow
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #321
Building Robust Ensembles via Margin Boosting
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #319
Investigating Generalization by Controlling Normalized Margin
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #317
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #315
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #313
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #311
Graph Neural Architecture Search Under Distribution Shifts
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #309
How Powerful are Spectral Graph Neural Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #307
Constraint-based graph network simulator
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #305
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #303
Structure-Aware Transformer for Graph Representation Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #301
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #400
Self-supervised Models are Good Teaching Assistants for Vision Transformers
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #402
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #404
In defense of dual-encoders for neural ranking
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #406
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #408
Linear Complexity Randomized Self-attention Mechanism
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #410
Efficient Representation Learning via Adaptive Context Pooling
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #412
Toward Compositional Generalization in Object-Oriented World Modeling
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #414
Fast Population-Based Reinforcement Learning on a Single Machine
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #416
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #418
Visual Attention Emerges from Recurrent Sparse Reconstruction
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #420
Transformer Quality in Linear Time
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #422
What Dense Graph Do You Need for Self-Attention?
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #424
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #426
Multi Resolution Analysis (MRA) for Approximate Self-Attention
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #428
Dynamic Topic Models for Temporal Document Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #432
A Functional Information Perspective on Model Interpretation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #434
Be Like Water: Adaptive Floating Point for Machine Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #436
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #438
Bregman Neural Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #439
Quantifying and Learning Linear Symmetry-Based Disentanglement
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #437
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #435
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #433
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #431
(Non-)Convergence Results for Predictive Coding Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #429
Representation Topology Divergence: A Method for Comparing Neural Network Representations.
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #427
Measuring Representational Robustness of Neural Networks Through Shared Invariances
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #425
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #423
Flowformer: Linearizing Transformers with Conservation Flows
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #421
Spatial-Channel Token Distillation for Vision MLPs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #419
Neurocoder: General-Purpose Computation Using Stored Neural Programs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #417
Improving Transformers with Probabilistic Attention Keys
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #415
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #413
AGNAS: Attention-Guided Micro- and Macro-Architecture Search
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #411
Convergence of Invariant Graph Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #409
Rich Feature Construction for the Optimization-Generalization Dilemma
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #407
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #405
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #403
Augment with Care: Contrastive Learning for Combinatorial Problems
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #401
Cycle Representation Learning for Inductive Relation Prediction
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #500
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #502
Do More Negative Samples Necessarily Hurt In Contrastive Learning?
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #504
MetAug: Contrastive Learning via Meta Feature Augmentation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #506
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #508
Contrastive Learning with Boosted Memorization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #510
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #512
Interventional Contrastive Learning with Meta Semantic Regularizer
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #514
On the Surrogate Gap between Contrastive and Supervised Losses
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #516
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #518
Locally Sparse Neural Networks for Tabular Biomedical Data
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #520
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #522
Detecting Corrupted Labels Without Training a Model to Predict
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #524
Prototype-Anchored Learning for Learning with Imperfect Annotations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #526
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #528
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #530
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #532
Invariant Ancestry Search
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #534
Unaligned Supervision for Automatic Music Transcription in The Wild
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #536
Fourier Learning with Cyclical Data
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #538
Linear Adversarial Concept Erasure
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #539
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #537
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #535
Subspace Learning for Effective Meta-Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #533
Continual Learning via Sequential Function-Space Variational Inference
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #529
Efficient Test-Time Model Adaptation without Forgetting
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #527
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #525
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #523
Random Gegenbauer Features for Scalable Kernel Methods
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #521
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #519
Functional Output Regression with Infimal Convolution: Exploring the Huber and $\epsilon$-insensitive Losses
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #517
Measuring dissimilarity with diffeomorphism invariance
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #515
Importance Weighted Kernel Bayes' Rule
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #513
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #511
Nyström Kernel Mean Embeddings
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #509
Distribution Regression with Sliced Wasserstein Kernels
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #507
Learning Stable Classifiers by Transferring Unstable Features
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #505
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #503
Attentional Meta-learners for Few-shot Polythetic Classification
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #501
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #600
Nonlinear Feature Diffusion on Hypergraphs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #602
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #604
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #606
Fast Provably Robust Decision Trees and Boosting
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #608
Order Constraints in Optimal Transport
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #610
Sublinear-Time Clustering Oracle for Signed Graphs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #612
PAC-Bayesian Bounds on Rate-Efficient Classifiers
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #614
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #616
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #618
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #620
SPDY: Accurate Pruning with Speedup Guarantees
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #622
Flashlight: Enabling Innovation in Tools for Machine Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #624
On the Robustness of CountSketch to Adaptive Inputs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #626
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #628
Wide Neural Networks Forget Less Catastrophically
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #630
A Unified View on PAC-Bayes Bounds for Meta-Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #632
MAML and ANIL Provably Learn Representations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #634
C-MinHash: Improving Minwise Hashing with Circulant Permutation
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #636
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #638
Safe Exploration for Efficient Policy Evaluation and Comparison
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #639
Adversarial Attacks on Gaussian Process Bandits
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #637
GALAXY: Graph-based Active Learning at the Extreme
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #635
When Are Linear Stochastic Bandits Attackable?
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #633
UniRank: Unimodal Bandit Algorithms for Online Ranking
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #631
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #629
Interactive Correlation Clustering with Existential Cluster Constraints
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #627
Simultaneous Graph Signal Clustering and Graph Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #625
Bregman Power k-Means for Clustering Exponential Family Data
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #623
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #621
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #619
Understanding Doubly Stochastic Clustering
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #617
Faster Fundamental Graph Algorithms via Learned Predictions
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #615
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #613
Fair and Fast k-Center Clustering for Data Summarization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #611
Online and Consistent Correlation Clustering
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #609
Generalized Leverage Scores: Geometric Interpretation and Applications
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #607
Adapting k-means Algorithms for Outliers
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #605
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #603
Online Algorithms with Multiple Predictions
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #601
Parsimonious Learning-Augmented Caching
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #700
RUMs from Head-to-Head Contests
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #702
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #704
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #706
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #708
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #710
Adaptive Second Order Coresets for Data-efficient Machine Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #712
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #714
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #716
Deletion Robust Submodular Maximization over Matroids
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #718
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #720
Instance Dependent Regret Analysis of Kernelized Bandits
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #722
Proximal and Federated Random Reshuffling
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #724
Federated Learning with Partial Model Personalization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #726
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #728
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #732
Iterative Double Sketching for Faster Least-Squares Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #734
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #736
A Regret Minimization Approach to Multi-Agent Control
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #738
Multi-slots Online Matching with High Entropy
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #739
Decision-Focused Learning: Through the Lens of Learning to Rank
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #737
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #735
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #733
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #731
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #729
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #727
Active Nearest Neighbor Regression Through Delaunay Refinement
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #725
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #723
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #721
Federated Learning with Label Distribution Skew via Logits Calibration
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #719
Adaptive Random Walk Gradient Descent for Decentralized Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #717
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #715
Secure Distributed Training at Scale
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #713
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #711
Anarchic Federated Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #709
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #707
Global Optimization Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #705
Generalized Federated Learning via Sharpness Aware Minimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #703
Delay-Adaptive Step-sizes for Asynchronous Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #701
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #800
Learning Augmented Binary Search Trees
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #802
Communication-efficient Distributed Learning for Large Batch Optimization
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #804
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #806
A Simple Guard for Learned Optimizers
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #808
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #810
Multi-Level Branched Regularization for Federated Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #812
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #814
Input Dependent Sparse Gaussian Processes
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #816
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #818
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #820
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #822
Nonparametric Embeddings of Sparse High-Order Interaction Events
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #824
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #826
NOMU: Neural Optimization-based Model Uncertainty
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #828
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #830
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #832
Scaling Structured Inference with Randomization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #834
Discrete Tree Flows via Tree-Structured Permutations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #836
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #838
The Importance of Non-Markovianity in Maximum State Entropy Exploration
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #837
Continuous Control with Action Quantization from Demonstrations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #835
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #833
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #829
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #827
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #825
Causal Imitation Learning under Temporally Correlated Noise
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #823
Interactive Inverse Reinforcement Learning for Cooperative Games
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #821
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #819
Robust Imitation Learning against Variations in Environment Dynamics
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #817
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #815
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #813
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #811
COLA: Consistent Learning with Opponent-Learning Awareness
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #809
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #807
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #805
Learning Stochastic Shortest Path with Linear Function Approximation
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #803
Difference Advantage Estimation for Multi-Agent Policy Gradients
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #801
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #900
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #902
Learning Bellman Complete Representations for Offline Policy Evaluation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #904
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #906
A Simple Reward-free Approach to Constrained Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #908
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #910
Temporal Difference Learning for Model Predictive Control
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #912
Model Selection in Batch Policy Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #914
Adversarially Trained Actor Critic for Offline Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #916
Optimal Estimation of Policy Gradient via Double Fitted Iteration
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #918
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #920
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #922
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #924
On the Role of Discount Factor in Offline Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #926
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #928
Tell me why! Explanations support learning relational and causal structure
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #930
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #932
Generalised Policy Improvement with Geometric Policy Composition
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #934
Offline Meta-Reinforcement Learning with Online Self-Supervision
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #936
Divergence-Regularized Multi-Agent Actor-Critic
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #929
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #927
Off-Policy Reinforcement Learning with Delayed Rewards
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #923
Direct Behavior Specification via Constrained Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #921
Large Batch Experience Replay
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #919
Evolving Curricula with Regret-Based Environment Design
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #915
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #913
Transformers are Meta-Reinforcement Learners
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #911
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #909
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #907
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #905
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #903
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1002
An Analytical Update Rule for General Policy Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1004
Making Linear MDPs Practical via Contrastive Representation Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1006
Flow-based Recurrent Belief State Learning for POMDPs
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1008
A Parametric Class of Approximate Gradient Updates for Policy Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1010
Retrieval-Augmented Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1012
Robust Policy Learning over Multiple Uncertainty Sets
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1014
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1018
Learning Dynamics and Generalization in Deep Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1020
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1026
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #1028
Imitation Learning by Estimating Expertise of Demonstrators
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1027
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1025
Off-Policy Evaluation for Large Action Spaces via Embeddings
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1023
Online Decision Transformer
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1021
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1019
How to Leverage Unlabeled Data in Offline Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1017
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1015
A Psychological Theory of Explainability
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1013
Task-aware Privacy Preservation for Multi-dimensional Data
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1011
Strategic Representation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1009
Causal Conceptions of Fairness and their Consequences
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1007
Fairness with Adaptive Weights
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1001
Understanding Instance-Level Impact of Fairness Constraints
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1003
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1106
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1108
Selective Regression under Fairness Criteria
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1110
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1112
Generalized Strategic Classification and the Case of Aligned Incentives
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1114
Improving Screening Processes via Calibrated Subset Selection
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1116
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1118
Data-SUITE: Data-centric identification of in-distribution incongruous examples
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1120
Counterfactual Prediction for Outcome-Oriented Treatments
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1122
Optimal Algorithms for Mean Estimation under Local Differential Privacy
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1124
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1126
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1125
Shuffle Private Linear Contextual Bandits
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1123
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1121
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1119
Label Ranking through Nonparametric Regression
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1117
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1115
A Simple Unified Framework for High Dimensional Bandit Problems
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1113
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1111
Branching Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1109
Fast rates for noisy interpolation require rethinking the effect of inductive bias
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1107
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1101
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1103
Entropic Gromov-Wasserstein between Gaussian Distributions
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1206
No-Regret Learning in Partially-Informed Auctions
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1208
On Last-Iterate Convergence Beyond Zero-Sum Games
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1210
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1212
Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1214
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1216
Nested Bandits
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1218
Information Discrepancy in Strategic Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1220
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1222
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1224
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1221
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1219
Selling Data To a Machine Learner: Pricing via Costly Signaling
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1217
Hardness and Algorithms for Robust and Sparse Optimization
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1215
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1213
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1211
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1207
The Complexity of k-Means Clustering when Little is Known
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1209
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1310
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1312
Nearly Optimal Catoni’s M-estimator for Infinite Variance
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1314
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1316
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1318
Contextual Information-Directed Sampling
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1320
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1319
Universal and data-adaptive algorithms for model selection in linear contextual bandits
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1317
Regret Minimization with Performative Feedback
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1315
A Simple yet Universal Strategy for Online Convex Optimization
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1309
Deep Hierarchy in Bandits
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1311
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1409
Asymptotically-Optimal Gaussian Bandits with Side Observations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1414
Learning from a Learning User for Optimal Recommendations
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1416
Thresholded Lasso Bandit
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1418
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1411
Decentralized Online Convex Optimization in Networked Systems
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1413
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1420
Sketching Algorithms and Lower Bounds for Ridge Regression
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1422
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1424
Utility Theory for Sequential Decision Making
[
Paper PDF]
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1426
Online Learning with Knapsacks: the Best of Both Worlds
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1428
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
