(2150 events)
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Registration Desk
Sun Jul 23 01:00 PM -- 08:00 PM (PDT) @ First Floor Main Lobby None
Registration
Lunch (On Your Own)
Sun Jul 23 02:30 PM -- 03:30 PM (PDT) None
Lunch (On Your Own)
Expo Talk Panel with Coffee & a Snack
Sun Jul 23 03:30 PM -- 04:30 PM (PDT) @ Theater 310 Lili' U None
Artificial Generative Innovation – How AI will change how humans innovate
Expo Talk Panel
Sun Jul 23 04:30 PM -- 05:30 PM (PDT) @ Theater 320 Emaline None
Generative AI and Science
Expo Talk Panel with Coffee & a Snack
Sun Jul 23 04:30 PM -- 05:30 PM (PDT) @ Theater 310 Lili' U None
Leveraging Self-Attention Models for Logistics problems in Amazon
Break
Sun Jul 23 05:00 PM -- 09:00 PM (PDT) @ Exhibit Hall 3 None
Exhibit Hall Open
Break
Sun Jul 23 05:30 PM -- 06:00 PM (PDT) None
Coffee Only Break 310, 320
Expo Talk Panel
Sun Jul 23 06:00 PM -- 07:00 PM (PDT) @ Theater 320 Emaline None
Learning Iconic Scenes with Differential Privacy
Expo Talk Panel
Sun Jul 23 06:00 PM -- 07:00 PM (PDT) @ Theater 310 Lili' U None
Graph Neural Networks in TensorFlow: a Practical Guide
Coffee Break
Sun Jul 23 07:00 PM -- 08:00 PM (PDT) @ Exhibit Hall 3 None
Coffee Break - Exhibit Hall 3
Expo Talk Panel
Sun Jul 23 08:00 PM -- 09:00 PM (PDT) @ Theater 320 Emaline None
Vowpal Wabbit: year in review and looking ahead in an LLM world
Expo Talk Panel
Sun Jul 23 08:00 PM -- 09:00 PM (PDT) @ Theater 310 Lili' U None
Colossal-AI: Breakthroughs in Efficient AI
Registration Desk
Mon Jul 24 11:00 AM -- 10:00 PM (PDT) @ First Floor Main Lobby None
Registration
Panel
Mon Jul 24 11:30 AM -- 12:30 PM (PDT) @ Meeting Room 310 None
ICML Education Outreach Panel
Affinity Workshop
Mon Jul 24 11:45 AM -- 08:00 PM (PDT) @ Meeting Room 315 None
LatinX in AI (LXAI) Workshop
Tutorial
Mon Jul 24 12:30 PM -- 03:00 PM (PDT) @ Ballroom B None
Reinforcement Learning from Human Feedback: A Tutorial *
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Slides]
Tutorial
Mon Jul 24 12:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 2 None
Tutorial on Multimodal Machine Learning: Principles, Challenges, and Open Questions
Tutorial
Mon Jul 24 12:30 PM -- 03:00 PM (PDT) @ Meeting Room 316 A-C None
Optimal Transport in Learning, Control, and Dynamical Systems
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Slides]
Exhibit Hall Open
Mon Jul 24 01:00 PM -- 11:00 PM (PDT) @ Exhibit Hall 3 None
Exhibit Hall Open
Coffee Break
Mon Jul 24 01:30 PM -- 02:00 PM (PDT) None
Coffee Break
Lunch -(On Your Own)
Mon Jul 24 03:00 PM -- 04:30 PM (PDT) None
Lunch -(On Your Own)
Tutorial
Mon Jul 24 04:30 PM -- 06:30 PM (PDT) @ Ballroom B None
Disinformation, Fake News and Computational Propaganda: Challenges and Opportunities for Machine Learning Research
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Slides]
Tutorial
Mon Jul 24 04:30 PM -- 06:30 PM (PDT) @ Meeting Room 316 A-C None
How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy
Tutorial
Mon Jul 24 04:30 PM -- 06:30 PM (PDT) @ Exhibit Hall 2 None
Self-Supervised Learning in Vision: from Research Advances to Best Practices
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Slides]
Coffee Break
Mon Jul 24 06:30 PM -- 07:00 PM (PDT) None
Coffee Break
Tutorial
Mon Jul 24 07:00 PM -- 09:00 PM (PDT) @ Exhibit Hall 2 None
Responsible AI for Generative AI in Practice: Lessons Learned and Open Challenges
Tutorial
Mon Jul 24 07:00 PM -- 09:00 PM (PDT) @ Meeting Room 316 A-C None
Discovering Agent-Centric Latent States in Theory and in Practice
Tutorial
Mon Jul 24 07:00 PM -- 09:00 PM (PDT) @ Ballroom B None
Recent Advances in the Generalization Theory of Neural Networks *
Welcome Reception
Mon Jul 24 09:15 PM -- 11:00 PM (PDT) @ First Floor Main Lobby None
Welcome Reception
EXPO Attendee Raffle Prize Give Away
Mon Jul 24 09:30 PM -- 09:45 PM (PDT) @ Exhibit Hall 3 None
EXPO Attendee Raffle Prize Give Away
Registration Desk
Tue Jul 25 11:00 AM -- 09:00 PM (PDT) @ First Floor Main Lobby None
Registration
Opening Remarks
Tue Jul 25 12:00 PM -- 12:15 PM (PDT) @ Exhibit Hall 2 None
Opening Remarks
Invited Talk
Tue Jul 25 12:15 PM -- 01:30 PM (PDT) @ Exhibit Hall 2 with overflow in Exhibit Hall 3 None
Taking the Pulse Of Ethical ML in Health
Exhibit Hall Open
Tue Jul 25 01:00 PM -- 09:00 PM (PDT) @ Exhibit Hall 3 None
Exhibit Hall Open
Coffee Break
Tue Jul 25 01:30 PM -- 02:00 PM (PDT) None
Coffee Break
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #118
Eventual Discounting Temporal Logic Counterfactual Experience Replay
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #119
PAC Generalization via Invariant Representations
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #123
Why does Throwing Away Data Improve Worst-Group Error?
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #124
TabDDPM: Modelling Tabular Data with Diffusion Models
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #128
Differentiable and Transportable Structure Learning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #200
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #201
Adaptive Coordination in Social Embodied Rearrangement
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #222
Second-order regression models exhibit progressive sharpening to the edge of stability
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #231
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #302
Why do Nearest Neighbor Language Models Work?
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #308
TAN Without a Burn: Scaling Laws of DP-SGD
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #310
On Kinetic Optimal Probability Paths for Generative Models
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #311
Bayesian Design Principles for Frequentist Sequential Learning
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #312
Speeding Up Bellman Ford via Minimum Violation Permutations
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #316
Contrastive Learning Meets Homophily: Two Birds with One Stone
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #318
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #320
Self-Interpretable Time Series Prediction with Counterfactual Explanations
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #322
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #324
Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #330
Active Ranking of Experts Based on their Performances in Many Tasks
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #333
The Monge Gap: A Regularizer to Learn All Transport Maps
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #336
Short-lived High-volume Bandits
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #400
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #404
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #408
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #409
Dataset Distillation with Convexified Implicit Gradients
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #415
Uncertainty Estimation for Molecules: Desiderata and Methods
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #421
Learning Belief Representations for Partially Observable Deep RL
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #424
Improved Active Multi-Task Representation Learning via Lasso
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #431
VA-learning as a more efficient alternative to Q-learning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #432
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #437
Inflow, Outflow, and Reciprocity in Machine Learning
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #442
A Kernel-Based View of Language Model Fine-Tuning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #502
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #513
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #518
Generating Private Synthetic Data with Genetic Algorithms
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #519
AdaBoost is not an Optimal Weak to Strong Learner
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #813
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #525
Continuation Path Learning for Homotopy Optimization
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #527
Margin-based Neural Network Watermarking
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #528
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #529
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #530
Constrained Phi-Equilibria
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #532
Statistical Indistinguishability of Learning Algorithms
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #536
Memory-Based Dual Gaussian Processes for Sequential Learning
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #544
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #604
Adversarially Robust PAC Learnability of Real-Valued Functions
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #605
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #609
Data Structures for Density Estimation
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #614
Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #619
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #620
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #626
High Probability Convergence of Stochastic Gradient Methods
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #632
Trapdoor Normalization with Irreversible Ownership Verification
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #635
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #640
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #701
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #705
PCA-based Multi-Task Learning: a Random Matrix Approach
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #710
Rethinking Backdoor Attacks
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #717
Learning Representations without Compositional Assumptions
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #720
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #722
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #725
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #726
Efficient List-Decodable Regression using Batches
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #730
Interventional Causal Representation Learning
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Poster]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #731
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #736
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #739
State and parameter learning with PARIS particle Gibbs
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #803
The Saddle-Point Method in Differential Privacy
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #809
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
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PDF]
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #811
Raising the Cost of Malicious AI-Powered Image Editing
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Poster]
Session
Tue Jul 25 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 None
Poster Session 1
Lunch -(On Your Own)
Tue Jul 25 03:30 PM -- 05:00 PM (PDT) None
Lunch -(On Your Own)
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #101
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima
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JMLR]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #124
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
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JMLR]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #118
Adversarial Classification: Necessary Conditions and Geometric Flows
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JMLR]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #125
Deep linear networks can benignly overfit when shallow ones do
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JMLR]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #104
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
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JMLR]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #110
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
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JMLR]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #119
On Generalizations of Some Distance Based Classifiers for HDLSS Data
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JMLR]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #204
Investigating the Role of Model-Based Learning in Exploration and Transfer
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #205
Tractable Control for Autoregressive Language Generation
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #207
The Benefits of Mixup for Feature Learning
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #211
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #221
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #229
Bigger, Better, Faster: Human-level Atari with human-level efficiency
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #233
Learning-Rate-Free Learning by D-Adaptation
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #234
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #300
Language Instructed Reinforcement Learning for Human-AI Coordination
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #303
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #307
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #312
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #314
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #315
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #317
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #329
Structure-informed Language Models Are Protein Designers
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #332
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #337
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #403
Bidirectional Learning for Offline Model-based Biological Sequence Design
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #404
Fast Inference from Transformers via Speculative Decoding
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #405
Action Matching: Learning Stochastic Dynamics from Samples
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #406
Private Federated Learning with Autotuned Compression
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #408
A theory of representation learning gives a deep generalisation of kernel methods
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #409
Optimistic Planning by Regularized Dynamic Programming
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #411
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #413
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #424
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #425
Refined Regret for Adversarial MDPs with Linear Function Approximation
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #426
User-level Private Stochastic Convex Optimization with Optimal Rates
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #431
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #434
Reward-Mixing MDPs with Few Latent Contexts are Learnable
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #438
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #441
Learning to Decouple Complex Systems
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #502
InfoOT: Information Maximizing Optimal Transport
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #510
Data-Copying in Generative Models: A Formal Framework
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #512
The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #513
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #518
Weighted Sampling without Replacement for Deep Top-$k$ Classification
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #521
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #522
Quantile Credit Assignment
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #524
Multi-User Reinforcement Learning with Low Rank Rewards
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #526
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #530
Principled Offline RL in the Presence of Rich Exogenous Information
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #531
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
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PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #534
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #535
How Bad is Top-$K$ Recommendation under Competing Content Creators?
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #539
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #543
Controlled Text Generation with Natural Language Instructions
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #601
On Pitfalls of Test-Time Adaptation
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #603
Taming graph kernels with random features
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #604
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #607
Fair and Accurate Decision Making through Group-Aware Learning
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #610
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #615
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #622
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #632
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #634
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #641
Tighter Information-Theoretic Generalization Bounds from Supersamples
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #644
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #704
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #709
FARE: Provably Fair Representation Learning with Practical Certificates
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #716
Unconstrained Online Learning with Unbounded Losses
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #417
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #729
Neural Diffusion Processes
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #730
Estimating Joint Treatment Effects by Combining Multiple Experiments
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #732
PAL: Program-aided Language Models
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #733
Looped Transformers as Programmable Computers
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #738
Stochastic Gradient Descent under Markovian Sampling Schemes
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #739
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #801
Compositional Score Modeling for Simulation-Based Inference
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #805
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #806
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #809
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #811
Human-Timescale Adaptation in an Open-Ended Task Space
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #827
LIV: Language-Image Representations and Rewards for Robotic Control
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #830
PASTA: Pessimistic Assortment Optimization
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #833
Multicalibration as Boosting for Regression
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #837
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #840
Online Local Differential Private Quantile Inference via Self-normalization
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #901
Dink-Net: Neural Clustering on Large Graphs
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Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #904
Settling the Reward Hypothesis
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Poster]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #906
Algorithms for bounding contribution for histogram estimation under user-level privacy
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Session
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 None
Poster Session 2
Coffee Only Break
Tue Jul 25 06:30 PM -- 07:00 PM (PDT) None
Coffee Only Break
Invited Talk
Tue Jul 25 07:00 PM -- 08:00 PM (PDT) @ Exhibit Hall 2 with overflow in Exhibit Hall 3 None
Machine Learning with Social Purpose
Coffee Break
Tue Jul 25 08:00 PM -- 08:30 PM (PDT) None
Coffee Break
Oral
Tue Jul 25 08:30 PM -- 08:38 PM (PDT) @ Ballroom B None
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
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Oral
Tue Jul 25 08:30 PM -- 08:38 PM (PDT) @ Ballroom A None
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
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Oral Session
Tue Jul 25 08:30 PM -- 10:00 PM (PDT) @ Meeting Room 313 None
Oral A2 Computer Vision and Efficient ML
Session
Tue Jul 25 08:30 PM -- 10:00 PM (PDT) @ Meeting Room 316 A-C None
Oral A3 ML Theory
Session
Tue Jul 25 08:30 PM -- 10:00 PM (PDT) @ Ballroom C None
Oral A6 Reinforcement Learning 2
Session
Tue Jul 25 08:30 PM -- 10:00 PM (PDT) @ Ballroom B None
Oral A5 Reinforcement Learning 1
Session
Tue Jul 25 08:30 PM -- 10:00 PM (PDT) @ Exhibit Hall 2 None
Oral A1 Causal Learning, RL, Personalization
Session
Tue Jul 25 08:30 PM -- 10:00 PM (PDT) @ Ballroom A None
Oral A4 Diffusion
Oral
Tue Jul 25 08:38 PM -- 08:46 PM (PDT) @ Ballroom B None
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
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Oral
Tue Jul 25 08:38 PM -- 08:46 PM (PDT) @ Ballroom C None
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
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Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Ballroom C None
Reinforcement Learning from Passive Data via Latent Intentions
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Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Ballroom A None
Graphically Structured Diffusion Models
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Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Ballroom B None
Reparameterized Policy Learning for Multimodal Trajectory Optimization
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Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Meeting Room 313 None
Scaling Vision Transformers to 22 Billion Parameters
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Oral
Tue Jul 25 08:54 PM -- 09:02 PM (PDT) @ Ballroom C None
Best of Both Worlds Policy Optimization
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Oral
Tue Jul 25 08:54 PM -- 09:02 PM (PDT) @ Meeting Room 316 A-C None
Tighter Information-Theoretic Generalization Bounds from Supersamples
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Oral
Tue Jul 25 08:54 PM -- 09:02 PM (PDT) @ Exhibit Hall 2 None
Delayed Feedback in Kernel Bandits
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Oral
Tue Jul 25 08:54 PM -- 09:02 PM (PDT) @ Ballroom B None
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
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Oral
Tue Jul 25 09:02 PM -- 09:10 PM (PDT) @ Meeting Room 316 A-C None
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
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Oral
Tue Jul 25 09:02 PM -- 09:10 PM (PDT) @ Ballroom C None
Exponential Smoothing for Off-Policy Learning
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Oral
Tue Jul 25 09:02 PM -- 09:10 PM (PDT) @ Exhibit Hall 2 None
Provably Learning Object-Centric Representations
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Oral
Tue Jul 25 09:02 PM -- 09:10 PM (PDT) @ Meeting Room 313 None
Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
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Oral
Tue Jul 25 09:10 PM -- 09:18 PM (PDT) @ Meeting Room 313 None
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
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Oral
Tue Jul 25 09:10 PM -- 09:18 PM (PDT) @ Ballroom A None
Diffusion Models are Minimax Optimal Distribution Estimators
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Oral
Tue Jul 25 09:10 PM -- 09:18 PM (PDT) @ Ballroom B None
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
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Oral
Tue Jul 25 09:10 PM -- 09:18 PM (PDT) @ Exhibit Hall 2 None
Task-specific experimental design for treatment effect estimation
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Oral
Tue Jul 25 09:18 PM -- 09:26 PM (PDT) @ Exhibit Hall 2 None
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
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Oral
Tue Jul 25 09:18 PM -- 09:26 PM (P