Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 318 - 320
Multi-Task Learning as a Bargaining Game
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 310
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 327 - 329
Structural Entropy Guided Graph Hierarchical Pooling
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Hall F
Dynamic Regret of Online Markov Decision Processes
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 301 - 303
Certified Robustness Against Natural Language Attacks by Causal Intervention
[
Paper PDF]
Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Ballroom 1 & 2
Differentially Private Approximate Quantiles
[
Paper PDF]
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 318 - 320
Frustratingly Easy Transferability Estimation
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 301 - 303
A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Hall F
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Ballroom 1 & 2
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 327 - 329
Self-Supervised Representation Learning via Latent Graph Prediction
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 310
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 310
Controlling Conditional Language Models without Catastrophic Forgetting
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 301 - 303
On the Learning of Non-Autoregressive Transformers
[
Paper PDF]
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 318 - 320
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Hall F
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 327 - 329
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Ballroom 1 & 2
Robust Models Are More Interpretable Because Attributions Look Normal
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 327 - 329
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Ballroom 1 & 2
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 310
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
[
Paper PDF]
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 318 - 320
A Difference Standardization Method for Mutual Transfer Learning
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 301 - 303
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Hall F
Provable Reinforcement Learning with a Short-Term Memory
[
Paper PDF]
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Hall G
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 309
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 307
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Ballroom 3 & 4
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 310
Structure-preserving GANs
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 301 - 303
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Ballroom 1 & 2
A Joint Exponential Mechanism For Differentially Private Top-k
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 318 - 320
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 327 - 329
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Hall F
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
[
Paper PDF]
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 309
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 307
NysADMM: faster composite convex optimization via low-rank approximation
[
Paper PDF]
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Ballroom 3 & 4
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Hall G
Provably Adversarially Robust Nearest Prototype Classifiers
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 318 - 320
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Ballroom 1 & 2
Transfer Learning In Differential Privacy's Hybrid-Model
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 310
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 301 - 303
Black-Box Tuning for Language-Model-as-a-Service
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 327 - 329
Analyzing and Mitigating Interference in Neural Architecture Search
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Hall F
Mirror Learning: A Unifying Framework of Policy Optimisation
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 309
Thompson Sampling for (Combinatorial) Pure Exploration
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Ballroom 3 & 4
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Hall G
Certifying Out-of-Domain Generalization for Blackbox Functions
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 307
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 327 - 329
Reverse Engineering ℓp attacks: A block-sparse optimization approach with recovery guarantees
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 318 - 320
Sparse Invariant Risk Minimization
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Ballroom 1 & 2
Robust Kernel Density Estimation with Median-of-Means principle
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 310
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Room 309
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Room 307
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Ballroom 3 & 4
Calibrated Learning to Defer with One-vs-All Classifiers
[
Paper PDF]
Spotlight
Tue Jul 19 08:05 AM -- 08:10 AM (PDT) @ Hall G
Intriguing Properties of Input-Dependent Randomized Smoothing
Spotlight
Tue Jul 19 08:10 AM -- 08:15 AM (PDT) @ Room 307
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding
Spotlight
Tue Jul 19 08:10 AM -- 08:15 AM (PDT) @ Room 309 None
Rotting Infinitely Many-Armed Bandits
Spotlight
Tue Jul 19 08:20 AM -- 08:25 AM (PDT) @ Hall F
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
Spotlight
Tue Jul 19 08:20 AM -- 08:25 AM (PDT) @ Room 301 - 303
Co-training Improves Prompt-based Learning for Large Language Models
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 327 - 329
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 310
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Hall F
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 301 - 303
Directed Acyclic Transformer for Non-Autoregressive Machine Translation
[
Paper PDF]
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 318 - 320
A Closer Look at Smoothness in Domain Adversarial Training
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Ballroom 3 & 4
DNA: Domain Generalization with Diversified Neural Averaging
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Hall G
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 301 - 303
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 318 - 320
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Ballroom 1 & 2
FriendlyCore: Practical Differentially Private Aggregation
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 327 - 329
A deep convolutional neural network that is invariant to time rescaling
[
Paper PDF]
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Hall F
Langevin Monte Carlo for Contextual Bandits
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 310
Conditional GANs with Auxiliary Discriminative Classifier
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Hall G
On the Generalization Analysis of Adversarial Learning
[
Paper PDF]
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Ballroom 3 & 4
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 309
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 307
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
[
Paper PDF]
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 301 - 303
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 318 - 320
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 310
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Ballroom 1 & 2
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Hall F
Prompting Decision Transformer for Few-Shot Policy Generalization
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 327 - 329
LyaNet: A Lyapunov Framework for Training Neural ODEs
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 309
Consistent Polyhedral Surrogates for Top-k Classification and Variants
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Hall G
Demystifying the Adversarial Robustness of Random Transformation Defenses
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Ballroom 3 & 4
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
[
Paper PDF]
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 307
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Hall F
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 310
Matching Normalizing Flows and Probability Paths on Manifolds
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 327 - 329
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 301 - 303
Generative Cooperative Networks for Natural Language Generation
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Ballroom 1 & 2
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 318 - 320
Zero-shot AutoML with Pretrained Models
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 309
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
[
Paper PDF]
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 307
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Hall G
Double Sampling Randomized Smoothing
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Ballroom 3 & 4
Channel Importance Matters in Few-Shot Image Classification
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 310
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 301 - 303
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Hall F
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 327 - 329
On Collective Robustness of Bagging Against Data Poisoning
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Ballroom 1 & 2
Public Data-Assisted Mirror Descent for Private Model Training
[
Paper PDF]
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 318 - 320
Efficient Variance Reduction for Meta-learning
[
Paper PDF]
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 309
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 307
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time
[
Paper PDF]
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Hall G
TPC: Transformation-Specific Smoothing for Point Cloud Models
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 301 - 303
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Ballroom 1 & 2
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 327 - 329
Hindering Adversarial Attacks with Implicit Neural Representations
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 310
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
[
Paper PDF]
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 309
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 307
Active Sampling for Min-Max Fairness
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 327 - 329
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 310
Region-Based Semantic Factorization in GANs
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Partial disentanglement for domain adaptation
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 301 - 303 None
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 307
Additive Gaussian Processes Revisited
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 327 - 329
pathGCN: Learning General Graph Spatial Operators from Paths
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Hall F
Robust Group Synchronization via Quadratic Programming
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 301 - 303
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Ballroom 1 & 2
Online Continual Learning through Mutual Information Maximization
Spotlight
Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Ballroom 3 & 4
Meaningfully debugging model mistakes using conceptual counterfactual explanations
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 307
Probabilistic ODE Solutions in Millions of Dimensions
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Hall F
UAST: Uncertainty-Aware Siamese Tracking
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 327 - 329
Graph-Coupled Oscillator Networks
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 301 - 303
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Ballroom 3 & 4
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Ballroom 1 & 2
Learning Iterative Reasoning through Energy Minimization
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Ballroom 3 & 4
Robust Counterfactual Explanations for Tree-Based Ensembles
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Ballroom 1 & 2
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 301 - 303
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
[
Paper PDF]
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 307
Adaptive Gaussian Process Change Point Detection
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 327 - 329
HousE: Knowledge Graph Embedding with Householder Parameterization
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Hall F
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Ballroom 3 & 4
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Room 307
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Room 327 - 329
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Ballroom 1 & 2
PoF: Post-Training of Feature Extractor for Improving Generalization
Spotlight
Tue Jul 19 10:45 AM -- 10:50 AM (PDT) @ Hall F
Generative Modeling for Multi-task Visual Learning
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 309
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 318 - 320
Stochastic Reweighted Gradient Descent
In
Optimization
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 310
Learning to Hash Robustly, Guaranteed
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Ballroom 3 & 4
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 301 - 303
Meta-Learning Hypothesis Spaces for Sequential Decision-making
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Ballroom 1 & 2
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 307
Fenrir: Physics-Enhanced Regression for Initial Value Problems
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 327 - 329
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Hall F
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 310
Policy Gradient Method For Robust Reinforcement Learning
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 309
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 318 - 320
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
In
Optimization
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 301 - 303
A Tighter Analysis of Spectral Clustering, and Beyond
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Ballroom 3 & 4
Framework for Evaluating Faithfulness of Local Explanations
[
Paper PDF]
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 307
Variational nearest neighbor Gaussian process
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 327 - 329
G2CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Ballroom 1 & 2
Set Based Stochastic Subsampling
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Hall F
Parametric Visual Program Induction with Function Modularization
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 318 - 320
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
In
Optimization
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 309
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 310
A query-optimal algorithm for finding counterfactuals
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 327 - 329
SpeqNets: Sparsity-aware permutation-equivariant graph networks
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Ballroom 3 & 4
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Spotlight
Tue Jul 19 11:05 AM -- 11:10 AM (PDT) @ Room 310
Linear Bandit Algorithms with Sublinear Time Complexity
Spotlight
Tue Jul 19 11:05 AM -- 11:10 AM (PDT) @ Room 318 - 320
FedNL: Making Newton-Type Methods Applicable to Federated Learning
In
Optimization
Spotlight
Tue Jul 19 11:05 AM -- 11:10 AM (PDT) @ Room 309
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
Spotlight
Tue Jul 19 11:10 AM -- 11:15 AM (PDT) @ Room 309
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Spotlight
Tue Jul 19 11:10 AM -- 11:15 AM (PDT) @ Room 310
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Room 301 - 303
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Room 307
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Ballroom 1 & 2
Generalizing to New Physical Systems via Context-Informed Dynamics Model
Spotlight
Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Hall F
Variational Feature Pyramid Networks
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 301 - 303
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
[
Paper PDF]
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Ballroom 1 & 2
Self-conditioning Pre-Trained Language Models
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 327 - 329
Position Prediction as an Effective Pretraining Strategy
[
Paper PDF]
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Ballroom 3 & 4
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 307
Bayesian Optimization under Stochastic Delayed Feedback
Spotlight
Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Hall F
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 318 - 320
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
In
Optimization
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 307
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 301 - 303
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
[
Paper PDF]
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Ballroom 3 & 4
XAI for Transformers: Better Explanations through Conservative Propagation
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 327 - 329
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Ballroom 1 & 2
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
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Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Hall F
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 310
Correlated Quantization for Distributed Mean Estimation and Optimization
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 318 - 320
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
In
Optimization
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 309
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 301 - 303
Confidence Score for Source-Free Unsupervised Domain Adaptation
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 307
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 327 - 329
Deep and Flexible Graph Neural Architecture Search
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Ballroom 3 & 4
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding
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Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Hall F
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 318 - 320
Probabilistic Bilevel Coreset Selection
In
Optimization
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 309
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 310
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
[
Paper PDF]
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 301 - 303
Gradient Based Clustering
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Ballroom 3 & 4
Interpretable Off-Policy Learning via Hyperbox Search
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 327 - 329
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 307
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Hall F
Time Is MattEr: Temporal Self-supervision for Video Transformers
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 310
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 309
Supervised Off-Policy Ranking
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 318 - 320
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
In
Optimization
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Ballroom 3 & 4
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 301 - 303
Global Optimization of K-Center Clustering
[
Paper PDF]
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 327 - 329
Large-Scale Graph Neural Architecture Search
[
Paper PDF]
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Ballroom 1 & 2
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
[
Paper PDF]
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 307
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Hall F
Benchmarking and Analyzing Point Cloud Classification under Corruptions
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 318 - 320
On Implicit Bias in Overparameterized Bilevel Optimization
In
Optimization
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 310
The Algebraic Path Problem for Graph Metrics
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 309
The Primacy Bias in Deep Reinforcement Learning
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 301 - 303
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Ballroom 3 & 4
On the Adversarial Robustness of Causal Algorithmic Recourse
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Ballroom 1 & 2
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 327 - 329
Optimization-Induced Graph Implicit Nonlinear Diffusion
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Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Hall F
Understanding The Robustness in Vision Transformers
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Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Room 310
Steerable 3D Spherical Neurons
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Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Room 309
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
Spotlight
Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Ballroom 3 & 4
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Room 301 - 303
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
Spotlight
Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Room 309
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
[
Paper PDF]
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Ballroom 1 & 2
Prototype Based Classification from Hierarchy to Fairness
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Room 318 - 320
Model-Free Opponent Shaping
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Ballroom 3 & 4
Coordinated Double Machine Learning
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Tue Jul 19 01:15 PM -- 01:20 PM (PDT) @ Room 327 - 329
Modeling Irregular Time Series with Continuous Recurrent Units
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Ballroom 1 & 2
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Room 327 - 329
TACTiS: Transformer-Attentional Copulas for Time Series
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Ballroom 3 & 4
Exploiting Independent Instruments: Identification and Distribution Generalization
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Room 301 - 303
On the Effects of Artificial Data Modification
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Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Room 309
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
Spotlight
Tue Jul 19 01:20 PM -- 01:25 PM (PDT) @ Room 318 - 320
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Ballroom 1 & 2
Deep Probability Estimation
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Room 309
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ϵ−7/4) Complexity
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Room 301 - 303
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Room 318 - 320
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Ballroom 3 & 4
Partial Counterfactual Identification from Observational and Experimental Data
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Tue Jul 19 01:25 PM -- 01:30 PM (PDT) @ Room 327 - 329
CerDEQ: Certifiable Deep Equilibrium Model
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Room 309
Understanding the unstable convergence of gradient descent
Spotlight
Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Ballroom 3 & 4
On Measuring Causal Contributions via do-interventions
[
Paper PDF]
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Room 301 - 303
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Ballroom 1 & 2
Uncertainty Modeling in Generative Compressed Sensing
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Room 318 - 320
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
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Tue Jul 19 01:30 PM -- 01:35 PM (PDT) @ Room 327 - 329
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Hall G
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Hall F
Selective Network Linearization for Efficient Private Inference
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 307
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 327 - 329
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Ballroom 1 & 2
Going Deeper into Permutation-Sensitive Graph Neural Networks
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 301 - 303
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Ballroom 3 & 4
The Role of Deconfounding in Meta-learning
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 318 - 320
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
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Tue Jul 19 01:35 PM -- 01:40 PM (PDT) @ Room 309
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Hall F
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Hall G
The Teaching Dimension of Regularized Kernel Learners
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 307
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Ballroom 3 & 4
CITRIS: Causal Identifiability from Temporal Intervened Sequences
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Ballroom 1 & 2
Learning from Counterfactual Links for Link Prediction
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 309
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 301 - 303
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 327 - 329
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
[
Paper PDF]
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Tue Jul 19 01:40 PM -- 01:45 PM (PDT) @ Room 318 - 320
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Hall F
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Hall G
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Room 307
LSB: Local Self-Balancing MCMC in Discrete Spaces
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Ballroom 1 & 2
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
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Tue Jul 19 01:45 PM -- 01:50 PM (PDT) @ Ballroom 3 & 4
Online Balanced Experimental Design
[
Paper PDF]
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT) @ Hall G
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT) @ Hall F
Modular Conformal Calibration
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Tue Jul 19 01:50 PM -- 01:55 PM (PDT) @ Room 307
A Langevin-like Sampler for Discrete Distributions
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Tue Jul 19 01:55 PM -- 02:00 PM (PDT) @ Room 307
Scalable Spike-and-Slab
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Tue Jul 19 01:55 PM -- 02:00 PM (PDT) @ Hall G
Multiclass learning with margin: exponential rates with no bias-variance trade-off
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT) @ Room 327 - 329
Improving Language Models by Retrieving from Trillions of Tokens
Spotlight
Tue Jul 19 02:05 PM -- 02:10 PM (PDT) @ Room 301 - 303
Describing Differences between Text Distributions with Natural Language
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT) @ Room 309
AdaGrad Avoids Saddle Points
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Tue Jul 19 02:05 PM -- 02:10 PM (PDT) @ Room 318 - 320
Self-Organized Polynomial-Time Coordination Graphs
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Room 301 - 303
Distinguishing rule- and exemplar-based generalization in learning systems
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Room 309
Fast and Provable Nonconvex Tensor RPCA
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Ballroom 3 & 4
Causal structure-based root cause analysis of outliers
Spotlight
Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Ballroom 1 & 2
Principal Component Flows
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Room 318 - 320
Individual Reward Assisted Multi-Agent Reinforcement Learning
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Tue Jul 19 02:10 PM -- 02:15 PM (PDT) @ Room 327 - 329
Closed-Form Diffeomorphic Transformations for Time Series Alignment
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Hall F
Context-Aware Drift Detection
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Ballroom 3 & 4
Instrumental Variable Regression with Confounder Balancing
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Ballroom 1 & 2
Bit Prioritization in Variational Autoencoders via Progressive Coding
[
Paper PDF]
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Room 309
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Room 301 - 303
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning
[
Paper PDF]
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Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Room 327 - 329
Removing Batch Normalization Boosts Adversarial Training
Spotlight
Tue Jul 19 02:15 PM -- 02:20 PM (PDT) @ Room 318 - 320
Generalized Beliefs for Cooperative AI
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Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 307
Continual Repeated Annealed Flow Transport Monte Carlo
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Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Hall F
Accelerating Shapley Explanation via Contributive Cooperator Selection
[
Paper PDF]
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Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Hall G
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Ballroom 3 & 4
Causal Transformer for Estimating Counterfactual Outcomes
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 309
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 318 - 320
Greedy when Sure and Conservative when Uncertain about the Opponents
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 301 - 303
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Ballroom 1 & 2
Generative Flow Networks for Discrete Probabilistic Modeling
Spotlight
Tue Jul 19 02:20 PM -- 02:25 PM (PDT) @ Room 327 - 329
Forget-free Continual Learning with Winning Subnetworks
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Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 307
Algorithms for the Communication of Samples
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Hall G
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Hall F
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 309
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 327 - 329
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 301 - 303
Minimizing Control for Credit Assignment with Strong Feedback
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Ballroom 1 & 2
Diffusion bridges vector quantized variational autoencoders
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Room 318 - 320
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
Spotlight
Tue Jul 19 02:25 PM -- 02:30 PM (PDT) @ Ballroom 3 & 4
Causal Inference Through the Structural Causal Marginal Problem
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 307
Low-Precision Stochastic Gradient Langevin Dynamics
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Hall G
Inductive Biases and Variable Creation in Self-Attention Mechanisms
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Hall F
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 309
Anticorrelated Noise Injection for Improved Generalization
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Ballroom 3 & 4
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 327 - 329
Adversarial Robustness against Multiple and Single lp-Threat Models via Quick Fine-Tuning of Robust Classifiers
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 318 - 320
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Room 301 - 303
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech
[
Paper PDF]
Spotlight
Tue Jul 19 02:30 PM -- 02:35 PM (PDT) @ Ballroom 1 & 2
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Hall G
Topology-aware Generalization of Decentralized SGD
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 307
Fast Relative Entropy Coding with A* coding
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Hall F
Sample Efficient Learning of Predictors that Complement Humans
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 327 - 329
On the Practicality of Deterministic Epistemic Uncertainty
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Ballroom 1 & 2
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 318 - 320
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Room 301 - 303
Towards Scaling Difference Target Propagation by Learning Backprop Targets
Spotlight
Tue Jul 19 02:35 PM -- 02:40 PM (PDT) @ Ballroom 3 & 4
Matching Learned Causal Effects of Neural Networks with Domain Priors
[
Paper PDF]
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 307
Accurate Quantization of Measures via Interacting Particle-based Optimization
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Hall G
Understanding Gradient Descent on the Edge of Stability in Deep Learning
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 318 - 320
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Ballroom 1 & 2
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 301 - 303
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Room 327 - 329
Combining Diverse Feature Priors
Spotlight
Tue Jul 19 02:40 PM -- 02:45 PM (PDT) @ Ballroom 3 & 4
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Room 309
On Numerical Integration in Neural Ordinary Differential Equations
In
DL: Theory
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Hall G
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
In
Applications
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Hall F
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Room 318 - 320
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Ballroom 3 & 4
Weisfeiler-Lehman Meets Gromov-Wasserstein
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Room 307
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
Spotlight
Wed Jul 20 07:30 AM -- 07:35 AM (PDT) @ Ballroom 1 & 2
Towards understanding how momentum improves generalization in deep learning
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Room 309
Reverse Engineering the Neural Tangent Kernel
In
DL: Theory
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Room 318 - 320
Label-Free Explainability for Unsupervised Models
[
Paper PDF]
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Hall G
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams
In
Applications
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Ballroom 1 & 2
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Ballroom 3 & 4
GenLabel: Mixup Relabeling using Generative Models
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Hall F
Adaptive Data Analysis with Correlated Observations
Spotlight
Wed Jul 20 07:35 AM -- 07:40 AM (PDT) @ Room 307
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Room 309
Principled Knowledge Extrapolation with GANs
In
DL: Theory
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Room 307
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Hall G
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
In
Applications
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Ballroom 3 & 4
When and How Mixup Improves Calibration
[
Paper PDF]
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Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Room 318 - 320
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Ballroom 1 & 2
Deep equilibrium networks are sensitive to initialization statistics
Spotlight
Wed Jul 20 07:40 AM -- 07:45 AM (PDT) @ Hall F
Efficient PAC Learning from the Crowd with Pairwise Comparisons
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Ballroom 1 & 2
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Hall G
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
In
Applications
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Hall F
On the Statistical Benefits of Curriculum Learning
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Ballroom 3 & 4
On Transportation of Mini-batches: A Hierarchical Approach
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Room 318 - 320
A Study of Face Obfuscation in ImageNet
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Room 307
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
Spotlight
Wed Jul 20 07:45 AM -- 07:50 AM (PDT) @ Room 309
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
In
DL: Theory
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 327 - 329
Fast Composite Optimization and Statistical Recovery in Federated Learning
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 310
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 301 - 303
Surrogate Likelihoods for Variational Annealed Importance Sampling
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 318 - 320
Fair Representation Learning through Implicit Path Alignment
[
Paper PDF]
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Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 307
Generalized Data Distribution Iteration
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Hall F
Feature and Parameter Selection in Stochastic Linear Bandits
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Room 309
Data Augmentation as Feature Manipulation
In
DL: Theory
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Ballroom 3 & 4
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Hall G
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
In
Applications
Spotlight
Wed Jul 20 07:50 AM -- 07:55 AM (PDT) @ Ballroom 1 & 2
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 327 - 329
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 301 - 303
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 310
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 309
Convolutional and Residual Networks Provably Contain Lottery Tickets
In
DL: Theory
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Hall G
Bayesian Imitation Learning for End-to-End Mobile Manipulation
In
Applications
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Hall F
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 307
Optimizing Tensor Network Contraction Using Reinforcement Learning
[
Paper PDF]
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Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Ballroom 3 & 4
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Ballroom 1 & 2
Local Augmentation for Graph Neural Networks
Spotlight
Wed Jul 20 07:55 AM -- 08:00 AM (PDT) @ Room 318 - 320
Mitigating Neural Network Overconfidence with Logit Normalization
[
Paper PDF]
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Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 301 - 303
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 310
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 327 - 329
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Hall G
De novo mass spectrometry peptide sequencing with a transformer model
In
Applications
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 309
Feature Learning and Signal Propagation in Deep Neural Networks
In
DL: Theory
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 307
History Compression via Language Models in Reinforcement Learning
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Room 318 - 320
Learning fair representation with a parametric integral probability metric
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Ballroom 3 & 4
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
Spotlight
Wed Jul 20 08:00 AM -- 08:05 AM (PDT) @ Ballroom 1 & 2
On Non-local Convergence Analysis of Deep Linear Networks
[
Paper PDF]
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Wed Jul 20 08:05 AM -- 08:10 AM (PDT) @ Room 301 - 303
Variational Sparse Coding with Learned Thresholding
Spotlight
Wed Jul 20 08:05 AM -- 08:10 AM (PDT) @ Room 327 - 329
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
[
Paper PDF]
Spotlight
Wed Jul 20 08:05 AM -- 08:10 AM (PDT) @ Room 310
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT) @ Room 327 - 329
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Spotlight
Wed Jul 20 08:10 AM -- 08:15 AM (PDT) @ Room 301 - 303
Structured Stochastic Gradient MCMC
Spotlight
Wed Jul 20 08:20 AM -- 08:25 AM (PDT) @ Hall F
Contextual Bandits with Large Action Spaces: Made Practical
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Room 309
Understanding Contrastive Learning Requires Incorporating Inductive Biases
In
DL: Theory
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Room 318 - 320
Fair Generalized Linear Models with a Convex Penalty
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Hall G
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
In
Applications
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Room 307
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Ballroom 3 & 4
Rethinking Fano’s Inequality in Ensemble Learning
[
Paper PDF]
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2
Diversified Adversarial Attacks based on Conjugate Gradient Method
Spotlight
Wed Jul 20 08:25 AM -- 08:30 AM (PDT) @ Hall F
Identifiability Conditions for Domain Adaptation
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Room 310
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Ballroom 3 & 4
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Ballroom 1 & 2
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Room 318 - 320
HyperPrompt: Prompt-based Task-Conditioning of Transformers
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Room 307
Efficient Learning for AlphaZero via Path Consistency
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Hall G
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
In
Applications
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Hall F
Streaming Algorithms for High-Dimensional Robust Statistics
Spotlight
Wed Jul 20 08:30 AM -- 08:35 AM (PDT) @ Room 309
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
In
DL: Theory
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 327 - 329
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
[
Paper PDF]
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 301 - 303
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 310
Learning to Infer Structures of Network Games
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 307
A data-driven approach for learning to control computers
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 318 - 320
Validating Causal Inference Methods
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Hall G
Proximal Exploration for Model-guided Protein Sequence Design
In
Applications
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Hall F
Popular decision tree algorithms are provably noise tolerant
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Room 309
Deep Network Approximation in Terms of Intrinsic Parameters
In
DL: Theory
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Ballroom 3 & 4
Improving Mini-batch Optimal Transport via Partial Transportation
Spotlight
Wed Jul 20 08:35 AM -- 08:40 AM (PDT) @ Ballroom 1 & 2
On the Equivalence Between Temporal and Static Equivariant Graph Representations
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 301 - 303
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 310
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 327 - 329
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 309
Coin Flipping Neural Networks
In
DL: Theory
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 307
Zero-Shot Reward Specification via Grounded Natural Language
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Room 318 - 320
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Ballroom 1 & 2
Robust Training under Label Noise by Over-parameterization
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Ballroom 3 & 4
Near-optimal rate of consistency for linear models with missing values
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Hall G None
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval
In
Applications
[
Slides]
[
Paper PDF]
Spotlight
Wed Jul 20 08:40 AM -- 08:45 AM (PDT) @ Hall F
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 301 - 303
Deep Reference Priors: What is the best way to pretrain a model?
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 327 - 329
Communication-Efficient Adaptive Federated Learning
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 310
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Hall G
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
In
Applications
[
Paper PDF]
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Ballroom 3 & 4
Permutation Search of Tensor Network Structures via Local Sampling
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Ballroom 1 & 2
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
[
Paper PDF]
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 309
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
In
DL: Theory
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Hall F
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 318 - 320
Scalable Deep Gaussian Markov Random Fields for General Graphs
Spotlight
Wed Jul 20 08:45 AM -- 08:50 AM (PDT) @ Room 307
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 327 - 329
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 310
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
[
Paper PDF]
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 307
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Hall F
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Hall G
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
In
Applications
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 309
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
In
DL: Theory
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Ballroom 1 & 2
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Spotlight
Wed Jul 20 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 327 - 329
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
[
Paper PDF]
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Hall G
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
In
Applications
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Hall F
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 307
Improving Policy Optimization with Generalist-Specialist Learning
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Room 309
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
In
DL: Theory
[
Paper PDF]
Spotlight
Wed Jul 20 08:55 AM -- 09:00 AM (PDT) @ Ballroom 3 & 4
DNNR: Differential Nearest Neighbors Regression
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Hall F
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Room 307
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Ballroom 1 & 2
From data to functa: Your data point is a function and you can treat it like one
[
Paper PDF]
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Room 310
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Hall G
Decomposing Temporal High-Order Interactions via Latent ODEs
Spotlight
Wed Jul 20 10:15 AM -- 10:20 AM (PDT) @ Room 318 - 320
Generating Distributional Adversarial Examples to Evade Statistical Detectors
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Room 318 - 320
Improving Out-of-Distribution Robustness via Selective Augmentation
[
Paper PDF]
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Room 310
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Hall F
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Ballroom 1 & 2
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
[
Paper PDF]
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Hall G
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Spotlight
Wed Jul 20 10:20 AM -- 10:25 AM (PDT) @ Room 307
Analysis of Stochastic Processes through Replay Buffers
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Hall G
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Room 318 - 320
Modeling Adversarial Noise for Adversarial Training
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Room 307
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
[
Paper PDF]
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Room 310
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Ballroom 1 & 2
Differentiable Top-k Classification Learning
Spotlight
Wed Jul 20 10:25 AM -- 10:30 AM (PDT) @ Hall F
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Room 307
Communicating via Markov Decision Processes
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Room 310
Modeling Structure with Undirected Neural Networks
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Room 318 - 320
Improving Adversarial Robustness via Mutual Information Estimation
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Hall G
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Ballroom 1 & 2
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Spotlight
Wed Jul 20 10:30 AM -- 10:35 AM (PDT) @ Hall F
Generative Coarse-Graining of Molecular Conformations
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 309
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 327 - 329
A Resilient Distributed Boosting Algorithm
[
Paper PDF]
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 301 - 303
Approximate Bayesian Computation with Domain Expert in the Loop
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Ballroom 1 & 2
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 307
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 318 - 320
FOCUS: Familiar Objects in Common and Uncommon Settings
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Hall G
Role-based Multiplex Network Embedding
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Room 310
Certified Neural Network Watermarks with Randomized Smoothing
Spotlight
Wed Jul 20 10:35 AM -- 10:40 AM (PDT) @ Hall F
LIMO: Latent Inceptionism for Targeted Molecule Generation
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 301 - 303
Discrete Probabilistic Inverse Optimal Transport
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 309
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 327 - 329
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Hall G
Measure Estimation in the Barycentric Coding Model
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 307
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 318 - 320
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Ballroom 1 & 2
Training Your Sparse Neural Network Better with Any Mask
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Room 310
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
Spotlight
Wed Jul 20 10:40 AM -- 10:45 AM (PDT) @ Hall F
Learning to Separate Voices by Spatial Regions
[
Paper PDF]
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 301 - 303
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 327 - 329
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
[
Paper PDF]
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 309
Sanity Simulations for Saliency Methods
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 310
Adversarial Vulnerability of Randomized Ensembles
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Ballroom 1 & 2
Federated Learning with Positive and Unlabeled Data
[
Paper PDF]
Spotlight
Wed Jul 20 10:45 AM -- 10:50 AM (PDT) @ Room 318 - 320
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT) @ Room 301 - 303
Streaming Inference for Infinite Feature Models
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT) @ Room 327 - 329
Congested Bandits: Optimal Routing via Short-term Resets
[
Paper PDF]
Spotlight
Wed Jul 20 10:50 AM -- 10:55 AM (PDT) @ Room 309
Out-of-Distribution Detection with Deep Nearest Neighbors
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT) @ Room 301 - 303
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT) @ Room 327 - 329
Stochastic Rising Bandits
Spotlight
Wed Jul 20 10:55 AM -- 11:00 AM (PDT) @ Room 309
Differentially Private Maximal Information Coefficients
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT) @ Hall G
Counterfactual Transportability: A Formal Approach
[
Paper PDF]
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT) @ Room 307
A Temporal-Difference Approach to Policy Gradient Estimation
Spotlight
Wed Jul 20 11:05 AM -- 11:10 AM (PDT) @ Hall F
3D Infomax improves GNNs for Molecular Property Prediction
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Room 318 - 320
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Hall G
Identification of Linear Non-Gaussian Latent Hierarchical Structure
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Room 310
The CLRS Algorithmic Reasoning Benchmark
[
Paper PDF]
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Ballroom 1 & 2
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Room 307
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Spotlight
Wed Jul 20 11:10 AM -- 11:15 AM (PDT) @ Hall F
Biological Sequence Design with GFlowNets
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Room 310
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Hall G
COAT: Measuring Object Compositionality in Emergent Representations
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Room 307
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency
[
Paper PDF]
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Ballroom 1 & 2
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
[
Paper PDF]
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Room 318 - 320
Neurotoxin: Durable Backdoors in Federated Learning
Spotlight
Wed Jul 20 11:15 AM -- 11:20 AM (PDT) @ Hall F
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 301 - 303
Variational Inference for Infinitely Deep Neural Networks
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 327 - 329
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 309
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Hall G
Generalization and Robustness Implications in Object-Centric Learning
[
Paper PDF]
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 307
Actor-Critic based Improper Reinforcement Learning
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 310
Understanding Robust Generalization in Learning Regular Languages
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Room 318 - 320
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
[
Paper PDF]
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Ballroom 1 & 2
Revisiting Consistency Regularization for Deep Partial Label Learning
[
Paper PDF]
Spotlight
Wed Jul 20 11:20 AM -- 11:25 AM (PDT) @ Hall F
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 301 - 303
Personalized Federated Learning via Variational Bayesian Inference
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 327 - 329
PDE-Based Optimal Strategy for Unconstrained Online Learning
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 309
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Hall G
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 318 - 320
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 307
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Ballroom 1 & 2
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Room 310
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Spotlight
Wed Jul 20 11:25 AM -- 11:30 AM (PDT) @ Hall F
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 301 - 303
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
[
Paper PDF]
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 327 - 329
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 309
Certified Adversarial Robustness Under the Bounded Support Set
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Hall G
Action-Sufficient State Representation Learning for Control with Structural Constraints
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 318 - 320
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 310
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
[
Paper PDF]
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Room 307
The Geometry of Robust Value Functions
[
Paper PDF]
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Ballroom 1 & 2
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
Spotlight
Wed Jul 20 11:30 AM -- 11:35 AM (PDT) @ Hall F
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 327 - 329
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 309
Predicting Out-of-Distribution Error with the Projection Norm
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 301 - 303
Bayesian Deep Embedding Topic Meta-Learner
[
Paper PDF]
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 307
Denoised MDPs: Learning World Models Better Than the World Itself
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 318 - 320
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Room 310
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
Spotlight
Wed Jul 20 11:35 AM -- 11:40 AM (PDT) @ Hall F
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 327 - 329
Random Forest Density Estimation
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 309
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 301 - 303
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 318 - 320
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
[
Paper PDF]
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Room 310
Short-Term Plasticity Neurons Learning to Learn and Forget
Spotlight
Wed Jul 20 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
Multicoated Supermasks Enhance Hidden Networks
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Hall F
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
In
Applications
[
Paper PDF]
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 318 - 320
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
[
Paper PDF]
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 309
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 310
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Ballroom 1 & 2
p-Laplacian Based Graph Neural Networks
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 307
Improved Regret for Differentially Private Exploration in Linear MDP
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 301 - 303
The Infinite Contextual Graph Markov Model
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Room 327 - 329
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Spotlight
Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Hall G
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
[
Paper PDF]
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Hall F
Matching Structure for Dual Learning
In
Applications
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 309
Implicit Bias of Linear Equivariant Networks
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Ballroom 1 & 2
Equivariant Quantum Graph Circuits
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 301 - 303
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 318 - 320
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 307
Differentially Private Community Detection for Stochastic Block Models
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 310
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Room 327 - 329
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Spotlight
Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Hall G
Bayesian Nonparametrics for Offline Skill Discovery
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 310
Partial Label Learning via Label Influence Function
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 318 - 320
Efficient Online ML API Selection for Multi-Label Classification Tasks
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 301 - 303
Detached Error Feedback for Distributed SGD with Random Sparsification
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 309
The State of Sparse Training in Deep Reinforcement Learning
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Hall F
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
In
Applications
[
Paper PDF]
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Hall G
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Ballroom 1 & 2
A Theoretical Comparison of Graph Neural Network Extensions
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 307
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
Spotlight
Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Room 327 - 329
Auxiliary Learning with Joint Task and Data Scheduling
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 307
Hermite Polynomial Features for Private Data Generation
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 318 - 320
Entropic Causal Inference: Graph Identifiability
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Ballroom 1 & 2
Variational On-the-Fly Personalization
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Hall F
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone
In
Applications
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 309
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 310
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 301 - 303
Training OOD Detectors in their Natural Habitats
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Room 327 - 329
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Spotlight
Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Hall G
Curriculum Reinforcement Learning via Constrained Optimal Transport
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 327 - 329
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 310
Understanding Robust Overfitting of Adversarial Training and Beyond
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 309
Datamodels: Understanding Predictions with Data and Data with Predictions
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 307
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 318 - 320
Architecture Agnostic Federated Learning for Neural Networks
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Ballroom 1 & 2
Deep symbolic regression for recurrence prediction
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Room 301 - 303
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Hall F
Inducing Causal Structure for Interpretable Neural Networks
In
Applications
[
Paper PDF]
Spotlight
Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Hall G
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Ballroom 1 & 2
Geometric Multimodal Contrastive Representation Learning
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Hall F
SDQ: Stochastic Differentiable Quantization with Mixed Precision
In
Applications
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 301 - 303
Neural Tangent Kernel Empowered Federated Learning
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Hall G
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 309
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 307
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 318 - 320
Conformal Prediction Sets with Limited False Positives
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 327 - 329
Generalizing Gaussian Smoothing for Random Search
Spotlight
Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Room 310
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
[
Paper PDF]
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Hall F
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
In
Applications
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 301 - 303
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 307
Private frequency estimation via projective geometry
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 318 - 320
Scalable Computation of Causal Bounds
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Hall G
Constrained Offline Policy Optimization
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Ballroom 1 & 2
Universality of Winning Tickets: A Renormalization Group Perspective
Spotlight
Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Room 309
Deep Causal Metric Learning
Spotlight
Wed Jul 20 02:20 PM -- 02:25 PM (PDT) @ Room 327 - 329
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
[
Paper PDF]
Spotlight
Wed Jul 20 02:20 PM -- 02:25 PM (PDT) @ Room 310
Supervised Learning with General Risk Functionals
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Hall F
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
In
Applications
[
Paper PDF]
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 309
Learning Symmetric Embeddings for Equivariant World Models
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 327 - 329
Risk-Averse No-Regret Learning in Online Convex Games
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 310
Locally Sparse Neural Networks for Tabular Biomedical Data
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 307
Faster Privacy Accounting via Evolving Discretization
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Ballroom 1 & 2
Loss Function Learning for Domain Generalization by Implicit Gradient
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 318 - 320
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Room 301 - 303
Feature Space Particle Inference for Neural Network Ensembles
Spotlight
Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Hall G
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Hall F
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
In
Applications
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 309
Accelerated Federated Learning with Decoupled Adaptive Optimization
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 327 - 329
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Hall G
Reinforcement Learning with Action-Free Pre-Training from Videos
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Ballroom 1 & 2
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 310
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 307
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 318 - 320
A Statistical Manifold Framework for Point Cloud Data
Spotlight
Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Room 301 - 303
A Study on the Ramanujan Graph Property of Winning Lottery Tickets
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Hall G
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
[
Paper PDF]
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Ballroom 1 & 2
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 318 - 320
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 309
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 307
Private Adaptive Optimization with Side information
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Hall F
Symmetric Machine Theory of Mind
In
Applications
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 327 - 329
Robust Multi-Objective Bayesian Optimization Under Input Noise
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 310
Detecting Corrupted Labels Without Training a Model to Predict
Spotlight
Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Room 301 - 303
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Ballroom 1 & 2
A Differential Entropy Estimator for Training Neural Networks
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 327 - 329
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 301 - 303
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 310
Prototype-Anchored Learning for Learning with Imperfect Annotations
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 318 - 320
A Natural Actor-Critic Framework for Zero-Sum Markov Games
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 309
TSPipe: Learn from Teacher Faster with Pipelines
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Room 307
Secure Quantized Training for Deep Learning
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Hall F
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
In
Applications
Spotlight
Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Hall G
Delayed Reinforcement Learning by Imitation
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 301 - 303
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 327 - 329
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Hall F
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
In
Applications
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 307
Private optimization in the interpolation regime: faster rates and hardness results
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Hall G
Reachability Constrained Reinforcement Learning
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 318 - 320
Distributionally Robust Q-Learning
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Ballroom 1 & 2
Scaling Out-of-Distribution Detection for Real-World Settings
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 309
Personalized Federated Learning through Local Memorization
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Room 310
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 318 - 320
Sparsity in Partially Controllable Linear Systems
[
Paper PDF]
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Hall G
Adaptive Model Design for Markov Decision Process
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Ballroom 1 & 2
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 327 - 329
The power of first-order smooth optimization for black-box non-smooth problems
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 301 - 303
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 307
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Hall F
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
In
Applications
[
Paper PDF]
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 310
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
Spotlight
Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Room 309
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 301 - 303
Towards Understanding Sharpness-Aware Minimization
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Hall F
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
In
Applications
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Hall G
Goal Misgeneralization in Deep Reinforcement Learning
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 318 - 320
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 307
Private Streaming SCO in ℓp geometry with Applications in High Dimensional Online Decision Making
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Ballroom 1 & 2
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Room 309
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Spotlight
Wed Jul 20 03:00 PM -- 03:05 PM (PDT) @ Hall G None
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 309
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 327 - 329
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 310
Adapting k-means Algorithms for Outliers
[
Paper PDF]
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 301 - 303
A Neural Tangent Kernel Perspective of GANs
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Ballroom 1 & 2
Does the Data Induce Capacity Control in Deep Learning?
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 318 - 320
Equivariance versus Augmentation for Spherical Images
Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Hall F
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 310
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 318 - 320
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 301 - 303
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Hall F
Composing Partial Differential Equations with Physics-Aware Neural Networks
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 309
Invariant Ancestry Search
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Ballroom 1 & 2
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 327 - 329
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 318 - 320
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
[
Paper PDF]
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 309
Unaligned Supervision for Automatic Music Transcription in The Wild
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Ballroom 1 & 2
Memory-Based Model Editing at Scale
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 310
Online Algorithms with Multiple Predictions
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 327 - 329
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 301 - 303
Neural Inverse Transform Sampler
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Hall F
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Ballroom 1 & 2
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 327 - 329
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 309
Fourier Learning with Cyclical Data
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 310
Parsimonious Learning-Augmented Caching
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 318 - 320
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Hall F
Towards Coherent and Consistent Use of Entities in Narrative Generation
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 301 - 303
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Hall G
Continuous Control with Action Quantization from Demonstrations
[
Paper PDF]
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 307
Entropic Gromov-Wasserstein between Gaussian Distributions
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Ballroom 3 & 4
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Hall F
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 327 - 329
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 310
RUMs from Head-to-Head Contests
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 301 - 303
Diffusion Models for Adversarial Purification
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Ballroom 1 & 2
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 318 - 320
GACT: Activation Compressed Training for Generic Network Architectures
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 309
Linear Adversarial Concept Erasure
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 307
No-Regret Learning in Partially-Informed Auctions
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Ballroom 3 & 4
Shuffle Private Linear Contextual Bandits
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Hall G
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
[
Paper PDF]
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 310
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 318 - 320
Fast Finite Width Neural Tangent Kernel
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Hall F
Optimally Controllable Perceptual Lossy Compression
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 327 - 329
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Ballroom 1 & 2
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 301 - 303
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Ballroom 3 & 4
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Hall G
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
[
Paper PDF]
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Room 307
On Last-Iterate Convergence Beyond Zero-Sum Games
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Hall F
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Room 301 - 303
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Room 310
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
Spotlight
Thu Jul 21 08:05 AM -- 08:10 AM (PDT) @ Hall G
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning
Spotlight
Thu Jul 21 08:05 AM -- 08:10 AM (PDT) @ Room 307
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
Spotlight
Thu Jul 21 08:05 AM -- 08:10 AM (PDT) @ Ballroom 3 & 4
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
Spotlight
Thu Jul 21 08:10 AM -- 08:15 AM (PDT) @ Room 307
Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games
Spotlight
Thu Jul 21 08:10 AM -- 08:15 AM (PDT) @ Hall G
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
Spotlight
Thu Jul 21 08:15 AM -- 08:20 AM (PDT) @ Room 309
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Spotlight
Thu Jul 21 08:20 AM -- 08:25 AM (PDT) @ Room 318 - 320
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
Spotlight
Thu Jul 21 08:20 AM -- 08:25 AM (PDT) @ Ballroom 1 & 2
Dataset Condensation via Efficient Synthetic-Data Parameterization
Spotlight
Thu Jul 21 08:20 AM -- 08:25 AM (PDT) @ Room 327 - 329
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Spotlight
Thu Jul 21 08:20 AM -- 08:25 AM (PDT) @ Room 309
Subspace Learning for Effective Meta-Learning
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 309 None
Continual Learning via Sequential Function-Space Variational Inference
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 301 - 303
Unsupervised Image Representation Learning with Deep Latent Particles
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 310
COLA: Consistent Learning with Opponent-Learning Awareness
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Hall F
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2
Searching for BurgerFormer with Micro-Meso-Macro Space Design
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 327 - 329
Functional Output Regression with Infimal Convolution: Exploring the Huber and ϵ-insensitive Losses
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 318 - 320
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
[
Paper PDF]
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Ballroom 3 & 4
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Hall F
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Ballroom 1 & 2
Multi-scale Feature Learning Dynamics: Insights for Double Descent
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 327 - 329
Measuring dissimilarity with diffeomorphism invariance
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 318 - 320
Continual Learning with Guarantees via Weight Interval Constraints
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 301 - 303
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 310
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
[
Paper PDF]
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 309
Efficient Test-Time Model Adaptation without Forgetting
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Hall G
Interactive Inverse Reinforcement Learning for Cooperative Games
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 307
Nested Bandits
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Ballroom 3 & 4
A Simple Unified Framework for High Dimensional Bandit Problems
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Ballroom 1 & 2
Dataset Condensation with Contrastive Signals
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 327 - 329
Importance Weighted Kernel Bayes' Rule
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 301 - 303
Neuro-Symbolic Hierarchical Rule Induction
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 309
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 310
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 318 - 320
Faster Fundamental Graph Algorithms via Learned Predictions
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Hall F
An Intriguing Property of Geophysics Inversion
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Hall G
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Ballroom 3 & 4 None
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 307
Information Discrepancy in Strategic Learning
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 327 - 329
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 310
Learning Stochastic Shortest Path with Linear Function Approximation
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 318 - 320
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 309
Input Dependent Sparse Gaussian Processes
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Hall F
Particle Transformer for Jet Tagging
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Ballroom 1 & 2
Equivariant Priors for compressed sensing with unknown orientation
[
Paper PDF]
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 301 - 303
General-purpose, long-context autoregressive modeling with Perceiver AR
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Hall G
Robust Imitation Learning against Variations in Environment Dynamics
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 307
A Psychological Theory of Explainability
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Ballroom 3 & 4
Branching Reinforcement Learning
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 309
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 310
Difference Advantage Estimation for Multi-Agent Policy Gradients
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 301 - 303
Marginal Tail-Adaptive Normalizing Flows
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Ballroom 1 & 2
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Hall F
BabelTower: Learning to Auto-parallelized Program Translation
[
Paper PDF]
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 327 - 329
Nyström Kernel Mean Embeddings
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 318 - 320
Fair and Fast k-Center Clustering for Data Summarization
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Hall G
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 307
Task-aware Privacy Preservation for Multi-dimensional Data
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Ballroom 3 & 4
Fast rates for noisy interpolation require rethinking the effect of inductive bias
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 318 - 320
Online and Consistent Correlation Clustering
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Hall F
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
[
Paper PDF]
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 327 - 329
Distribution Regression with Sliced Wasserstein Kernels
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 310
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Ballroom 1 & 2
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 301 - 303
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 307
Strategic Representation
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Hall G
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Ballroom 3 & 4
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 301 - 303
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 310
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
[
Paper PDF]
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Hall F
On Distribution Shift in Learning-based Bug Detectors
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 318 - 320
Generalized Leverage Scores: Geometric Interpretation and Applications
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Hall F
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Hall G
A Context-Integrated Transformer-Based Neural Network for Auction Design
In
Applications
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Room 307
Learning Stable Classifiers by Transferring Unstable Features
[
Paper PDF]
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Ballroom 1 & 2
Adversarial Masking for Self-Supervised Learning
[
Paper PDF]
Spotlight
Thu Jul 21 10:30 AM -- 10:35 AM (PDT) @ Room 309
Dynamic Topic Models for Temporal Document Networks
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Hall F
Self-supervised Models are Good Teaching Assistants for Vision Transformers
[
Paper PDF]
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Ballroom 1 & 2
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Room 309
A Functional Information Perspective on Model Interpretation
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Room 307
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
Spotlight
Thu Jul 21 10:35 AM -- 10:40 AM (PDT) @ Hall G
Domain Adaptation for Time Series Forecasting via Attention Sharing
In
Applications
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Hall G
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
In
Applications
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Ballroom 1 & 2
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Hall F
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Room 307
Attentional Meta-learners for Few-shot Polythetic Classification
Spotlight
Thu Jul 21 10:40 AM -- 10:45 AM (PDT) @ Room 309
Be Like Water: Adaptive Floating Point for Machine Learning
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Room 307
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Hall F
In defense of dual-encoders for neural ranking
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Hall G
Disentangling Disease-related Representation from Obscure for Disease Prediction
In
Applications
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Ballroom 1 & 2
Multirate Training of Neural Networks
Spotlight
Thu Jul 21 10:45 AM -- 10:50 AM (PDT) @ Room 309
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 301 - 303
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 327 - 329
Offline Meta-Reinforcement Learning with Online Self-Supervision
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Ballroom 3 & 4
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 318 - 320
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 310
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Hall F
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Ballroom 1 & 2
Variational Wasserstein gradient flow
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Hall G
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
In
Applications
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 309
Fast Provably Robust Decision Trees and Boosting
Spotlight
Thu Jul 21 10:50 AM -- 10:55 AM (PDT) @ Room 307
Nonlinear Feature Diffusion on Hypergraphs
[
Paper PDF]
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 301 - 303
A Simple Reward-free Approach to Constrained Reinforcement Learning
[
Paper PDF]
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 310
Nonparametric Embeddings of Sparse High-Order Interaction Events
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 318 - 320
Adaptive Second Order Coresets for Data-efficient Machine Learning
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 327 - 329
Divergence-Regularized Multi-Agent Actor-Critic
[
Paper PDF]
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Ballroom 3 & 4
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Ballroom 1 & 2
Building Robust Ensembles via Margin Boosting
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Hall G
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
In
Applications
[
Paper PDF]
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 309
Order Constraints in Optimal Transport
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Room 307
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
Spotlight
Thu Jul 21 10:55 AM -- 11:00 AM (PDT) @ Hall F
Linear Complexity Randomized Self-attention Mechanism
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 327 - 329
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 301 - 303
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 318 - 320
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Ballroom 3 & 4
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 310
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Hall G
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
In
Applications
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Room 307
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Ballroom 1 & 2
Investigating Generalization by Controlling Normalized Margin
[
Paper PDF]
Spotlight
Thu Jul 21 11:00 AM -- 11:05 AM (PDT) @ Hall F
Efficient Representation Learning via Adaptive Context Pooling
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 327 - 329
Off-Policy Reinforcement Learning with Delayed Rewards
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 301 - 303
Temporal Difference Learning for Model Predictive Control
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 310
NOMU: Neural Optimization-based Model Uncertainty
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Ballroom 3 & 4
Selling Data To a Machine Learner: Pricing via Costly Signaling
Spotlight
Thu Jul 21 11:05 AM -- 11:10 AM (PDT) @ Room 318 - 320
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT) @ Room 301 - 303
Model Selection in Batch Policy Optimization
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT) @ Ballroom 3 & 4
Hardness and Algorithms for Robust and Sparse Optimization
Spotlight
Thu Jul 21 11:10 AM -- 11:15 AM (PDT) @ Room 327 - 329
Direct Behavior Specification via Constrained Reinforcement Learning
Spotlight
Thu Jul 21 11:20 AM -- 11:25 AM (PDT) @ Room 309
PAC-Bayesian Bounds on Rate-Efficient Classifiers
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Hall G
Adaptive Conformal Predictions for Time Series
In
Applications
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Hall F
Fast Population-Based Reinforcement Learning on a Single Machine
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Room 307
Fairness with Adaptive Weights
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Room 309
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Spotlight
Thu Jul 21 11:25 AM -- 11:30 AM (PDT) @ Ballroom 1 & 2
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training
[
Paper PDF]
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 310
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 318 - 320
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Ballroom 1 & 2
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 307
Understanding Instance-Level Impact of Fairness Constraints
[
Paper PDF]
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Room 309
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Hall G
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
In
Applications
[
Paper PDF]
Spotlight
Thu Jul 21 11:30 AM -- 11:35 AM (PDT) @ Hall F
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 327 - 329
Evolving Curricula with Regret-Based Environment Design
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 310
Wide Neural Networks Forget Less Catastrophically
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Ballroom 3 & 4
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 301 - 303
Optimal Estimation of Policy Gradient via Double Fitted Iteration
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 318 - 320
Instance Dependent Regret Analysis of Kernelized Bandits
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Hall F
Visual Attention Emerges from Recurrent Sparse Reconstruction
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 307
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Ballroom 1 & 2
Graph Neural Architecture Search Under Distribution Shifts
[
Paper PDF]
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Room 309
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
Spotlight
Thu Jul 21 11:35 AM -- 11:40 AM (PDT) @ Hall G
Rethinking Graph Neural Networks for Anomaly Detection
In
Applications
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 327 - 329
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 301 - 303
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 318 - 320
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
[
Paper PDF]
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Ballroom 3 & 4
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 310
A Unified View on PAC-Bayes Bounds for Meta-Learning
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Ballroom 1 & 2
How Powerful are Spectral Graph Neural Networks
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 307
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Room 309
SPDY: Accurate Pruning with Speedup Guarantees
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Hall G
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
In
Applications
Spotlight
Thu Jul 21 11:40 AM -- 11:45 AM (PDT) @ Hall F
Transformer Quality in Linear Time
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 301 - 303
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 318 - 320
Tell me why! Explanations support learning relational and causal structure
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Ballroom 3 & 4
The Complexity of k-Means Clustering when Little is Known
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 327 - 329
Transformers are Meta-Reinforcement Learners
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 310
MAML and ANIL Provably Learn Representations
[
Paper PDF]
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Hall F
What Dense Graph Do You Need for Self-Attention?
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 307
Selective Regression under Fairness Criteria
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Hall G
Proving Theorems using Incremental Learning and Hindsight Experience Replay
In
Applications
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Ballroom 1 & 2
Constraint-based graph network simulator
Spotlight
Thu Jul 21 11:45 AM -- 11:50 AM (PDT) @ Room 309
Flashlight: Enabling Innovation in Tools for Machine Learning
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 301 - 303
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
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Paper PDF]
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 310
C-MinHash: Improving Minwise Hashing with Circulant Permutation
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Paper PDF]
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 327 - 329
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
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Paper PDF]
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 318 - 320
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Ballroom 3 & 4
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
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Paper PDF]
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Ballroom 1 & 2
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
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Paper PDF]
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Hall G
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
In
Applications
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Hall F
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
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Paper PDF]
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 307
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
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Thu Jul 21 11:50 AM -- 11:55 AM (PDT) @ Room 309
On the Robustness of CountSketch to Adaptive Inputs
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Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Ballroom 3 & 4
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
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Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Room 327 - 329
Constrained Variational Policy Optimization for Safe Reinforcement Learning
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Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Room 301 - 303
On the Role of Discount Factor in Offline Reinforcement Learning
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Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Room 310
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
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Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Ballroom 1 & 2
Structure-Aware Transformer for Graph Representation Learning
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Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Hall F
Multi Resolution Analysis (MRA) for Approximate Self-Attention
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Thu Jul 21 11:55 AM -- 12:00 PM (PDT) @ Hall G
Neural Inverse Kinematic
In
Applications
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Paper PDF]
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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Ballroom 1 & 2
Bregman Neural Networks
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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 307
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 301 - 303
Revisiting End-to-End Speech-to-Text Translation From Scratch
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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Hall F
Convergence of Invariant Graph Networks
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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 327 - 329
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Room 310
Global Optimization Networks
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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Hall G
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
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Thu Jul 21 12:30 PM -- 12:35 PM (PDT) @ Ballroom 3 & 4
Nearly Optimal Catoni’s M-estimator for Infinite Variance
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Paper PDF]
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Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Ballroom 1 & 2
Quantifying and Learning Linear Symmetry-Based Disentanglement
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Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Ballroom 3 & 4
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
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Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Hall F
Rich Feature Construction for the Optimization-Generalization Dilemma
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Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Hall G
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
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Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Room 307
A Regret Minimization Approach to Multi-Agent Control
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Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Room 327 - 329
Federated Learning with Label Distribution Skew via Logits Calibration
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Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Room 301 - 303
Data Scaling Laws in NMT: The Effect of Noise and Architecture
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Thu Jul 21 12:35 PM -- 12:40 PM (PDT) @ Room 310
Generalized Federated Learning via Sharpness Aware Minimization
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Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Ballroom 1 & 2
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
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Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Hall G
Object Permanence Emerges in a Random Walk along Memory
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Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 307
Multi-slots Online Matching with High Entropy
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Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Hall F
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
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Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 327 - 329
Adaptive Random Walk Gradient Descent for Decentralized Optimization
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Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 301 - 303
Dialog Inpainting: Turning Documents into Dialogs
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Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Room 310
Delay-Adaptive Step-sizes for Asynchronous Learning
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Thu Jul 21 12:40 PM -- 12:45 PM (PDT) @ Ballroom 3 & 4
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
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Paper PDF]
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Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 307
Decision-Focused Learning: Through the Lens of Learning to Rank
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Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Hall F
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
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Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Ballroom 1 & 2
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
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Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Hall G
Flow-Guided Sparse Transformer for Video Deblurring
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Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 301 - 303
Safe Exploration for Efficient Policy Evaluation and Comparison
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Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Ballroom 3 & 4
Contextual Information-Directed Sampling
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Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 310
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
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Thu Jul 21 12:45 PM -- 12:50 PM (PDT) @ Room 327 - 329
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 318 - 320
Improving Screening Processes via Calibrated Subset Selection
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Paper PDF]
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 309
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Hall F
Augment with Care: Contrastive Learning for Combinatorial Problems
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Ballroom 3 & 4
Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 307
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 301 - 303
Adversarial Attacks on Gaussian Process Bandits
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 310
Learning Augmented Binary Search Trees
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Hall G
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Room 327 - 329
Secure Distributed Training at Scale
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Thu Jul 21 12:50 PM -- 12:55 PM (PDT) @ Ballroom 1 & 2
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 309
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
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Paper PDF]
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 318 - 320
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Ballroom 1 & 2
(Non-)Convergence Results for Predictive Coding Networks
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Paper PDF]
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 307
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Hall G
Staged Training for Transformer Language Models
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Hall F
Cycle Representation Learning for Inductive Relation Prediction
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Paper PDF]
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 310
Communication-efficient Distributed Learning for Large Batch Optimization
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 301 - 303
GALAXY: Graph-based Active Learning at the Extreme
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Room 327 - 329
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
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Paper PDF]
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Thu Jul 21 12:55 PM -- 01:00 PM (PDT) @ Ballroom 3 & 4
Universal and data-adaptive algorithms for model selection in linear contextual bandits
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Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Room 309
Imitation Learning by Estimating Expertise of Demonstrators
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Paper PDF]
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Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Room 318 - 320
Data-SUITE: Data-centric identification of in-distribution incongruous examples
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Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Ballroom 1 & 2
Representation Topology Divergence: A Method for Comparing Neural Network Representations.
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Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Ballroom 3 & 4
Regret Minimization with Performative Feedback
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Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Room 307
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
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Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Room 301 - 303
When Are Linear Stochastic Bandits Attackable?
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Thu Jul 21 01:00 PM -- 01:05 PM (PDT) @ Hall F
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
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Thu Jul 21 01:05 PM -- 01:10 PM (PDT) @ Room 309
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
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Thu Jul 21 01:05 PM -- 01:10 PM (PDT) @ Room 318 - 320
Counterfactual Prediction for Outcome-Oriented Treatments
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Thu Jul 21 01:10 PM -- 01:15 PM (PDT) @ Room 309
Off-Policy Evaluation for Large Action Spaces via Embeddings
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Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Hall G
Self-supervised learning with random-projection quantizer for speech recognition
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Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Room 327 - 329
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
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Thu Jul 21 01:20 PM -- 01:25 PM (PDT) @ Room 310
A Simple Guard for Learned Optimizers
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 307
Making Linear MDPs Practical via Contrastive Representation Learning
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Hall F
MetAug: Contrastive Learning via Meta Feature Augmentation
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 310
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 327 - 329
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Hall G
Learning Multiscale Transformer Models for Sequence Generation
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Room 301 - 303
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Ballroom 3 & 4
Deep Hierarchy in Bandits
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Thu Jul 21 01:25 PM -- 01:30 PM (PDT) @ Ballroom 1 & 2
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 318 - 320
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Hall F
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 310
Multi-Level Branched Regularization for Federated Learning
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 307
Flow-based Recurrent Belief State Learning for POMDPs
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Hall G
NP-Match: When Neural Processes meet Semi-Supervised Learning
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Ballroom 3 & 4
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Ballroom 1 & 2
Flowformer: Linearizing Transformers with Conservation Flows
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 327 - 329
Sketching Algorithms and Lower Bounds for Ridge Regression
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Thu Jul 21 01:30 PM -- 01:35 PM (PDT) @ Room 301 - 303
Interactive Correlation Clustering with Existential Cluster Constraints
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 309
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 318 - 320
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Hall F
Contrastive Learning with Boosted Memorization
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 327 - 329
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 310
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 307
A Parametric Class of Approximate Gradient Updates for Policy Optimization
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Ballroom 1 & 2
Spatial-Channel Token Distillation for Vision MLPs
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Room 301 - 303
Simultaneous Graph Signal Clustering and Graph Learning
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Ballroom 3 & 4
Asymptotically-Optimal Gaussian Bandits with Side Observations
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Thu Jul 21 01:35 PM -- 01:40 PM (PDT) @ Hall G
Proximal and Federated Random Reshuffling
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 309
How to Leverage Unlabeled Data in Offline Reinforcement Learning
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 318 - 320
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Ballroom 1 & 2
Neurocoder: General-Purpose Computation Using Stored Neural Programs
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 327 - 329
Utility Theory for Sequential Decision Making
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 307
Retrieval-Augmented Reinforcement Learning
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Ballroom 3 & 4
Learning from a Learning User for Optimal Recommendations
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 301 - 303
Bregman Power k-Means for Clustering Exponential Family Data
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Room 310
Scaling Structured Inference with Randomization
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Hall F
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning
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Thu Jul 21 01:40 PM -- 01:45 PM (PDT) @ Hall G
Federated Learning with Partial Model Personalization
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 318 - 320
Active Nearest Neighbor Regression Through Delaunay Refinement
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 309
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 301 - 303
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 327 - 329
Online Learning with Knapsacks: the Best of Both Worlds
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Ballroom 1 & 2
Improving Transformers with Probabilistic Attention Keys
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Hall F
Interventional Contrastive Learning with Meta Semantic Regularizer
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Ballroom 3 & 4
Thresholded Lasso Bandit
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Hall G
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 307
Robust Policy Learning over Multiple Uncertainty Sets
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Thu Jul 21 01:45 PM -- 01:50 PM (PDT) @ Room 310
Discrete Tree Flows via Tree-Structured Permutations
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 309
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 318 - 320
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 307
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
[
Paper PDF]
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 301 - 303
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Ballroom 3 & 4
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Hall F
On the Surrogate Gap between Contrastive and Supervised Losses
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 310
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Hall G
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Room 327 - 329
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
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Thu Jul 21 01:50 PM -- 01:55 PM (PDT) @ Ballroom 1 & 2
Rethinking Attention-Model Explainability through Faithfulness Violation Test
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Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Room 309
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
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Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Room 307
Learning Dynamics and Generalization in Deep Reinforcement Learning
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Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Ballroom 3 & 4
Decentralized Online Convex Optimization in Networked Systems
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Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Room 301 - 303
Understanding Doubly Stochastic Clustering
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Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Ballroom 1 & 2
AGNAS: Attention-Guided Micro- and Macro-Architecture Search
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Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Hall G
Iterative Double Sketching for Faster Least-Squares Optimization
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Thu Jul 21 01:55 PM -- 02:00 PM (PDT) @ Hall F
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning