(419 events) Timezone: America/Los_Angeles
Show all
Toggle Poster Visibility
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 #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 #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 #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
