(2150 events) Timezone: America/Los_Angeles
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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 310 Lili' U None
Colossal-AI: Breakthroughs in Efficient AI
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
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) @ 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) @ 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) @ 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) @ Exhibit Hall 2 None
Self-Supervised Learning in Vision: from Research Advances to Best Practices
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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) @ Ballroom B None
Disinformation, Fake News and Computational Propaganda: Challenges and Opportunities for Machine Learning Research
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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) @ Ballroom B None
Recent Advances in the Generalization Theory of Neural Networks *
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
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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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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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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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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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
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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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
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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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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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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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
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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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
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
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
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
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
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
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
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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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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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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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
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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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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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 #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 #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 #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 #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 #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 #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
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
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
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
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
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
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
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
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
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
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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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
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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PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #603
Taming graph kernels with random features
[
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
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #607
Fair and Accurate Decision Making through Group-Aware Learning
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
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.
[
PDF]
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
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #641
Tighter Information-Theoretic Generalization Bounds from Supersamples
[
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
[
PDF]
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
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #709
FARE: Provably Fair Representation Learning with Practical Certificates
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #716
Unconstrained Online Learning with Unbounded Losses
[
PDF]
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
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #729
Neural Diffusion Processes
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #730
Estimating Joint Treatment Effects by Combining Multiple Experiments
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #732
PAL: Program-aided Language Models
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #733
Looped Transformers as Programmable Computers
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #738
Stochastic Gradient Descent under Markovian Sampling Schemes
[
PDF]
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
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #801
Compositional Score Modeling for Simulation-Based Inference
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #830
PASTA: Pessimistic Assortment Optimization
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #833
Multicalibration as Boosting for Regression
[
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
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #840
Online Local Differential Private Quantile Inference via Self-normalization
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #901
Dink-Net: Neural Clustering on Large Graphs
[
PDF]
Poster
Tue Jul 25 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #904
Settling the Reward Hypothesis
[
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
[
PDF]
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 A None
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
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PDF]
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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PDF]
Session
Tue Jul 25 08:30 PM -- 10:00 PM (PDT) @ Ballroom A None
Oral A4 Diffusion
Session
Tue Jul 25 08:30 PM -- 10:00 PM (PDT) @ Meeting Room 316 A-C None
Oral A3 ML Theory
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) @ Ballroom C None
Oral A6 Reinforcement Learning 2
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 B None
Oral A5 Reinforcement Learning 1
Oral
Tue Jul 25 08:38 PM -- 08:46 PM (PDT) @ Ballroom C None
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
[
PDF]
Oral
Tue Jul 25 08:38 PM -- 08:46 PM (PDT) @ Ballroom B None
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
[
PDF]
Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Meeting Room 313 None
Scaling Vision Transformers to 22 Billion Parameters
[
PDF]
Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Ballroom C None
Reinforcement Learning from Passive Data via Latent Intentions
[
PDF]
Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Ballroom A None
Graphically Structured Diffusion Models
[
PDF]
Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Ballroom B None
Reparameterized Policy Learning for Multimodal Trajectory Optimization
[
PDF]
Oral
Tue Jul 25 08:54 PM -- 09:02 PM (PDT) @ Ballroom C None
Best of Both Worlds Policy Optimization
[
PDF]
Oral
Tue Jul 25 08:54 PM -- 09:02 PM (PDT) @ Exhibit Hall 2 None
Delayed Feedback in Kernel Bandits
[
PDF]
Oral
Tue Jul 25 08:54 PM -- 09:02 PM (PDT) @ Meeting Room 316 A-C None
Tighter Information-Theoretic Generalization Bounds from Supersamples
[
PDF]
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
[
PDF]
Oral
Tue Jul 25 09:02 PM -- 09:10 PM (PDT) @ Exhibit Hall 2 None
Provably Learning Object-Centric Representations
[
PDF]
Oral
Tue Jul 25 09:02 PM -- 09:10 PM (PDT) @ Meeting Room 313 None
Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
[
PDF]
Oral
Tue Jul 25 09:02 PM -- 09:10 PM (PDT) @ Ballroom C None
Exponential Smoothing for Off-Policy Learning
[
PDF]
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
[
PDF]
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
[
PDF]
Oral
Tue Jul 25 09:10 PM -- 09:18 PM (PDT) @ Exhibit Hall 2 None
Task-specific experimental design for treatment effect estimation
[
PDF]
Oral
Tue Jul 25 09:10 PM -- 09:18 PM (PDT) @ Ballroom A None
Diffusion Models are Minimax Optimal Distribution Estimators
[
PDF]
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
[
PDF]
Oral
Tue Jul 25 09:18 PM -- 09:26 PM (PDT) @ Ballroom B None
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
[
PDF]
Oral
Tue Jul 25 09:18 PM -- 09:26 PM (PDT) @ Meeting Room 316 A-C None
Why does Throwing Away Data Improve Worst-Group Error?
[
PDF]
Oral
Tue Jul 25 09:18 PM -- 09:26 PM (PDT) @ Ballroom C None
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
[
PDF]
Oral
Tue Jul 25 09:18 PM -- 09:26 PM (PDT) @ Meeting Room 313 None
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
[
PDF]
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.
[
PDF]
Oral
Tue Jul 25 09:26 PM -- 09:34 PM (PDT) @ Exhibit Hall 2 None
Interventional Causal Representation Learning
[
PDF]
Oral
Tue Jul 25 09:26 PM -- 09:34 PM (PDT) @ Ballroom A None
OCD: Learning to Overfit with Conditional Diffusion Models
[
PDF]
Oral
Tue Jul 25 09:26 PM -- 09:34 PM (PDT) @ Ballroom B None
Efficient RL via Disentangled Environment and Agent Representations
[
PDF]
Oral
Tue Jul 25 09:26 PM -- 09:34 PM (PDT) @ Meeting Room 313 None
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
[
PDF]
Oral
Tue Jul 25 09:34 PM -- 09:42 PM (PDT) @ Ballroom C None
Human-Timescale Adaptation in an Open-Ended Task Space
[
PDF]
Oral
Tue Jul 25 09:34 PM -- 09:42 PM (PDT) @ Ballroom A None
Denoising MCMC for Accelerating Diffusion-Based Generative Models
[
PDF]
Oral
Tue Jul 25 09:34 PM -- 09:42 PM (PDT) @ Ballroom B None
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning
[
PDF]
Oral
Tue Jul 25 09:34 PM -- 09:42 PM (PDT) @ Meeting Room 316 A-C None
Sharper Bounds for $\ell_p$ Sensitivity Sampling
[
PDF]
Oral
Tue Jul 25 09:34 PM -- 09:42 PM (PDT) @ Meeting Room 313 None
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
[
PDF]
Oral
Tue Jul 25 09:42 PM -- 09:50 PM (PDT) @ Ballroom B None
On the Statistical Benefits of Temporal Difference Learning
[
PDF]
Oral
Tue Jul 25 09:42 PM -- 09:50 PM (PDT) @ Ballroom A None
Cones: Concept Neurons in Diffusion Models for Customized Generation
[
PDF]
Oral
Tue Jul 25 09:42 PM -- 09:50 PM (PDT) @ Meeting Room 316 A-C None
AdaBoost is not an Optimal Weak to Strong Learner
[
PDF]
Oral
Tue Jul 25 09:50 PM -- 09:58 PM (PDT) @ Meeting Room 316 A-C None
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
[
PDF]
Registration Desk
Wed Jul 26 11:00 AM -- 09:00 PM (PDT) @ First Floor Main Lobby None
Registration
Invited Talk
Wed Jul 26 12:30 PM -- 01:30 PM (PDT) @ Exhibit Hall 2 with overflow in Exhibit Hall 3 None
The Future of ML in Biology: CRISPR for Health and Climate
Exhibit Hall Open
Wed Jul 26 01:00 PM -- 09:00 PM (PDT) @ Exhibit Hall 3 None
Exhibit Hall Open
Coffee Break
Wed Jul 26 01:30 PM -- 02:00 PM (PDT) None
Coffee Break
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #103
Machine Learning Force Fields with Data Cost Aware Training
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PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #104
Out-of-Domain Robustness via Targeted Augmentations
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #107
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #111
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #129
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #134
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #205
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #216
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #217
Can Large Language Models Reason about Program Invariants?
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #222
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #223
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #225
Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #229
Graph Inductive Biases in Transformers without Message Passing
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #310
A Kernelized Stein Discrepancy for Biological Sequences
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #313
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #321
On the Effectiveness of Offline RL for Dialogue Response Generation
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #324
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #326
A Fully First-Order Method for Stochastic Bilevel Optimization
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #327
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #329
Concurrent Shuffle Differential Privacy Under Continual Observation
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #330
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #331
Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #332
Projected Tensor Power Method for Hypergraph Community Recovery
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #335
Adapting to game trees in zero-sum imperfect information games
[
Slides]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #400
Fast Rates for Maximum Entropy Exploration
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #402
Measuring the Impact of Programming Language Distribution
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #409
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #412
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #415
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #419
Neural Inverse Operators for Solving PDE Inverse Problems
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #436
Deep Laplacian-based Options for Temporally-Extended Exploration
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #442
Mimetic Initialization of Self-Attention Layers
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #504
Calibrating Multimodal Learning
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #506
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #508
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #512
Polynomial Preconditioning for Gradient Methods
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #521
Resurrecting Recurrent Neural Networks for Long Sequences
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #529
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #533
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #538
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #604
Robustly Learning a Single Neuron via Sharpness
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #609
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #623
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #625
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #626
Scalable Adaptive Computation for Iterative Generation
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #633
Understanding the Complexity Gains of Single-Task RL with a Curriculum
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #639
Specializing Smaller Language Models towards Multi-Step Reasoning
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #640
Equivariant Architectures for Learning in Deep Weight Spaces
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #641
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #643
Difference of submodular minimization via DC programming
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #645
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #703
Generative Adversarial Symmetry Discovery
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #705
OCD: Learning to Overfit with Conditional Diffusion Models
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #706
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #708
Protecting Language Generation Models via Invisible Watermarking
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #709
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #713
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #714
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #716
Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #735
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #737
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #738
The Statistical Scope of Multicalibration
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #739
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #801
Nonparametric Extensions of Randomized Response for Private Confidence Sets
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #802
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #804
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
[
PDF]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #806
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
[
Poster]
Poster
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 #808
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
[
PDF]
Session
Wed Jul 26 02:00 PM -- 03:30 PM (PDT) @ Exhibit Hall 1 None
Poster Session 3
Lunch -(On Your Own)
Wed Jul 26 03:30 PM -- 05:00 PM (PDT) None
Lunch -(On Your Own)
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #115
Simple and Fast Group Robustness by Automatic Feature Reweighting
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #118
Nonlinear Causal Discovery with Latent Confounders
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #119
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
[
Slides]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #129
Hyena Hierarchy: Towards Larger Convolutional Language Models
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #130
Towards Controlled Data Augmentations for Active Learning
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #132
Online Nonstochastic Control with Adversarial and Static Constraints
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #135
Restoration based Generative Models
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #137
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #200
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #202
Reinforcement Learning from Passive Data via Latent Intentions
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #204
Provably and Practically Efficient Neural Contextual Bandits
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #210
Pre-training for Speech Translation: CTC Meets Optimal Transport
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #214
Can Forward Gradient Match Backpropagation?
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #219
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #220
Evaluating Self-Supervised Learning via Risk Decomposition
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #221
Width and Depth Limits Commute in Residual Networks
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #227
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #228
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #230
Composer: Creative and Controllable Image Synthesis with Composable Conditions
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #313
Federated Heavy Hitter Recovery under Linear Sketching
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #324
The Ideal Continual Learner: An Agent That Never Forgets
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #330
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #331
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #333
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #404
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #408
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #415
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #416
A Watermark for Large Language Models
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #420
Trainability, Expressivity and Interpretability in Gated Neural ODEs
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #421
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #423
Tilted Sparse Additive Models
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #425
A Flexible Diffusion Model
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #430
Reinforcement Learning Can Be More Efficient with Multiple Rewards
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #431
Minimizing Trajectory Curvature of ODE-based Generative Models
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #433
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #434
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #436
Automatic Data Augmentation via Invariance-Constrained Learning
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #440
Online Mechanism Design for Information Acquisition
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #501
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #502
Dynamics-inspired Neuromorphic Visual Representation Learning
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #505
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #506
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #507
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #521
Revisiting Structured Variational Autoencoders
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #529
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #601
Scaling Laws for Reward Model Overoptimization
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #602
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #603
Benign Overfitting in Deep Neural Networks under Lazy Training
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #604
Gradient Descent Converges Linearly for Logistic Regression on Separable Data
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #611
Online Platt Scaling with Calibeating
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #614
Pretraining Language Models with Human Preferences
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #615
Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #618
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #619
Learning Antidote Data to Individual Unfairness
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #622
Coordinate Descent Methods for Fractional Minimization
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #629
Transformers Learn In-Context by Gradient Descent
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #630
Robust Explanation for Free or At the Cost of Faithfulness
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #638
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #706
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #707
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #711
Understanding Plasticity in Neural Networks
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #720
Are Equivariant Equilibrium Approximators Beneficial?
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #724
From Adaptive Query Release to Machine Unlearning
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #725
Brauer's Group Equivariant Neural Networks
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #733
CLUSTSEG: Clustering for Universal Segmentation
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #734
Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models
[
Poster]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #742
Statistical Inference and A/B Testing for First-Price Pacing Equilibria
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #801
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
[
PDF]
Poster
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 #804
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
[
PDF]
Session
Wed Jul 26 05:00 PM -- 06:30 PM (PDT) @ Exhibit Hall 1 None
Poster Session 4
Coffee Break
Wed Jul 26 06:30 PM -- 07:00 PM (PDT) None
Coffee Break
Oral
Wed Jul 26 07:00 PM -- 07:08 PM (PDT) @ Meeting Room 313 None
Pretraining Language Models with Human Preferences
[
PDF]
Oral
Wed Jul 26 07:00 PM -- 07:08 PM (PDT) @ Ballroom B None
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
[
PDF]
Oral
Wed Jul 26 07:00 PM -- 07:08 PM (PDT) @ Meeting Room 316 A-C None
Nonparametric Extensions of Randomized Response for Private Confidence Sets
[
PDF]
Oral
Wed Jul 26 07:00 PM -- 07:08 PM (PDT) @ Ballroom C None
When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
[
PDF]
Panel
Wed Jul 26 07:00 PM -- 08:30 PM (PDT) @ Exhibit Hall 2 None
AI and Marginalized Languages
Session
Wed Jul 26 07:00 PM -- 08:30 PM (PDT) @ Meeting Room 316 A-C None
Oral B3 Privacy
Session
Wed Jul 26 07:00 PM -- 08:30 PM (PDT) @ Ballroom B None
Oral B5 Self/Semi-Supervised Learning and Interpretability / Observing Aspects of NN
Session
Wed Jul 26 07:00 PM -- 08:30 PM (PDT) @ Ballroom C None
Oral B1 Language Models: Human Impact
Session
Wed Jul 26 07:00 PM -- 08:30 PM (PDT) @ Ballroom A None
Oral B4 Robustness / Adversarial / Rl Bandits
Session
Wed Jul 26 07:00 PM -- 08:30 PM (PDT) @ Meeting Room 313 None
Oral B2 Language Models: Algorithms and Architecture
Oral
Wed Jul 26 07:08 PM -- 07:16 PM (PDT) @ Ballroom A None
Adapting to game trees in zero-sum imperfect information games
[
PDF]
Oral
Wed Jul 26 07:08 PM -- 07:16 PM (PDT) @ Meeting Room 316 A-C None
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
[
PDF]
Oral
Wed Jul 26 07:08 PM -- 07:16 PM (PDT) @ Ballroom C None
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
[
PDF]
Oral
Wed Jul 26 07:16 PM -- 07:24 PM (PDT) @ Meeting Room 316 A-C None
Tight Data Access Bounds for Private Top-$k$ Selection
[
PDF]
Oral
Wed Jul 26 07:16 PM -- 07:24 PM (PDT) @ Ballroom C None
Whose Opinions Do Language Models Reflect?
[
PDF]
Oral
Wed Jul 26 07:16 PM -- 07:24 PM (PDT) @ Meeting Room 313 None
Specializing Smaller Language Models towards Multi-Step Reasoning
[
PDF]
Oral
Wed Jul 26 07:24 PM -- 07:32 PM (PDT) @ Ballroom B None
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
[
PDF]
Oral
Wed Jul 26 07:24 PM -- 07:32 PM (PDT) @ Meeting Room 313 None
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
[
PDF]
Oral
Wed Jul 26 07:24 PM -- 07:32 PM (PDT) @ Ballroom A None
Delving into Noisy Label Detection with Clean Data
[
PDF]
Oral
Wed Jul 26 07:24 PM -- 07:32 PM (PDT) @ Ballroom C None
A Watermark for Large Language Models
[
PDF]
Oral
Wed Jul 26 07:24 PM -- 07:32 PM (PDT) @ Meeting Room 316 A-C None
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
[
PDF]
Oral
Wed Jul 26 07:32 PM -- 07:40 PM (PDT) @ Meeting Room 313 None
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
[
PDF]
Oral
Wed Jul 26 07:32 PM -- 07:40 PM (PDT) @ Ballroom C None
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
[
PDF]
Oral
Wed Jul 26 07:32 PM -- 07:40 PM (PDT) @ Meeting Room 316 A-C None
Active Ranking of Experts Based on their Performances in Many Tasks
[
PDF]
Oral
Wed Jul 26 07:32 PM -- 07:40 PM (PDT) @ Ballroom A None
Robustly Learning a Single Neuron via Sharpness
[
PDF]
Oral
Wed Jul 26 07:40 PM -- 07:48 PM (PDT) @ Meeting Room 313 None
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
[
PDF]
Oral
Wed Jul 26 07:40 PM -- 07:48 PM (PDT) @ Ballroom A None
Data Feedback Loops: Model-driven Amplification of Dataset Biases
[
PDF]
Oral
Wed Jul 26 07:40 PM -- 07:48 PM (PDT) @ Meeting Room 316 A-C None
The Price of Differential Privacy under Continual Observation
[
PDF]
Oral
Wed Jul 26 07:40 PM -- 07:48 PM (PDT) @ Ballroom C None
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
[
PDF]
Oral
Wed Jul 26 07:48 PM -- 07:56 PM (PDT) @ Ballroom C None
Inflow, Outflow, and Reciprocity in Machine Learning
[
PDF]
Oral
Wed Jul 26 07:48 PM -- 07:56 PM (PDT) @ Ballroom B None
Understanding Plasticity in Neural Networks
[
PDF]
Oral
Wed Jul 26 07:48 PM -- 07:56 PM (PDT) @ Meeting Room 313 None
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
[
PDF]
Oral
Wed Jul 26 07:48 PM -- 07:56 PM (PDT) @ Ballroom A None
Towards Reliable Neural Specifications
[
PDF]
Oral
Wed Jul 26 07:56 PM -- 08:04 PM (PDT) @ Ballroom A None
Do Perceptually Aligned Gradients Imply Robustness?
[
PDF]
Oral
Wed Jul 26 07:56 PM -- 08:04 PM (PDT) @ Meeting Room 316 A-C None
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
[
PDF]
Oral
Wed Jul 26 07:56 PM -- 08:04 PM (PDT) @ Ballroom B None
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
[
PDF]
Oral
Wed Jul 26 07:56 PM -- 08:04 PM (PDT) @ Ballroom C None
Structure-informed Language Models Are Protein Designers
[
PDF]
Oral
Wed Jul 26 07:56 PM -- 08:04 PM (PDT) @ Meeting Room 313 None
Tractable Control for Autoregressive Language Generation
[
PDF]
Oral
Wed Jul 26 08:04 PM -- 08:12 PM (PDT) @ Meeting Room 316 A-C None
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
[
PDF]
Oral
Wed Jul 26 08:04 PM -- 08:12 PM (PDT) @ Meeting Room 313 None
Equivariant Architectures for Learning in Deep Weight Spaces
[
PDF]
Oral
Wed Jul 26 08:04 PM -- 08:12 PM (PDT) @ Ballroom C None
Transformers Learn In-Context by Gradient Descent
[
PDF]
Oral
Wed Jul 26 08:04 PM -- 08:12 PM (PDT) @ Ballroom B None
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
[
PDF]
Oral
Wed Jul 26 08:12 PM -- 08:20 PM (PDT) @ Meeting Room 316 A-C None
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
[
PDF]
Oral
Wed Jul 26 08:12 PM -- 08:20 PM (PDT) @ Ballroom B None
Brauer's Group Equivariant Neural Networks
[
PDF]
Town Hall
Wed Jul 26 08:45 PM -- 09:15 PM (PDT) @ Ballroom B None
ICML Business Meeting - all attendees
Registration Desk
Thu Jul 27 11:00 AM -- 08:00 PM (PDT) @ First Floor Main Lobby None
Registration
Test Of Time
Thu Jul 27 11:30 AM -- 12:00 PM (PDT) @ Exhibit Hall 2 None
Learning Fair Representations
[
Slides]
Invited Talk
Thu Jul 27 12:30 PM -- 01:30 PM (PDT) @ Exhibit Hall 2 None
Proxy objectives in reinforcement learning from human feedback
Coffee Break
Thu Jul 27 01:00 PM -- 02:00 PM (PDT) None
Coffee Break
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #204
Underspecification Presents Challenges for Credibility in Modern Machine Learning
[
JMLR]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #106
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #110
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #113
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #122
Naive imputation implicitly regularizes high-dimensional linear models
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #128
Distribution Free Prediction Sets for Node Classification
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #129
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #137
Hyperbolic Image-text Representations
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #202
Guiding Pretraining in Reinforcement Learning with Large Language Models
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #213
A Mathematical Model for Curriculum Learning for Parities
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #214
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #216
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #218
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #221
Bayes-optimal Learning of Deep Random Networks of Extensive-width
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #225
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #227
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #229
Exphormer: Sparse Transformers for Graphs
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #234
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #307
Generalized Teacher Forcing for Learning Chaotic Dynamics
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #308
Towards a better understanding of representation dynamics under TD-learning
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #327
Smooth Non-stationary Bandits
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #329
Tight Data Access Bounds for Private Top-$k$ Selection
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #400
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #403
Thompson Sampling with Diffusion Generative Prior
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #405
Coupled Variational Autoencoder
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #410
Learning Unnormalized Statistical Models via Compositional Optimization
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #411
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #412
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #415
Task-specific experimental design for treatment effect estimation
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #420
Inferring Relational Potentials in Interacting Systems
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #430
Strategic Classification with Unknown User Manipulations
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #433
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #438
When is Realizability Sufficient for Off-Policy Reinforcement Learning?
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #439
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #440
Federated Online and Bandit Convex Optimization
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #510
Whose Opinions Do Language Models Reflect?
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #511
Global optimality of Elman-type RNNs in the mean-field regime
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #301
Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #517
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #519
Identifiability of Label Noise Transition Matrix
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #524
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #529
Fully-Adaptive Composition in Differential Privacy
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #532
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #540
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #542
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #603
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #607
Second-Order Optimization with Lazy Hessians
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #609
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #612
System Identification of Neural Systems: If We Got It Right, Would We Know?
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #620
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #621
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #626
Delayed Feedback in Kernel Bandits
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #814
Cones: Concept Neurons in Diffusion Models for Customized Generation
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #637
Diffusion Based Representation Learning
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #638
On Data Manifolds Entailed by Structural Causal Models
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #703
Sketched Ridgeless Linear Regression: The Role of Downsampling
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #707
Learning the Dynamics of Sparsely Observed Interacting Systems
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #711
Controllable Neural Symbolic Regression
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #715
Buying Information for Stochastic Optimization
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #717
Robustness in Multimodal Learning under Train-Test Modality Mismatch
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #719
Nonparametric Density Estimation under Distribution Drift
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #720
Network Effects in Performative Prediction Games
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #721
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #724
Layered State Discovery for Incremental Autonomous Exploration
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #726
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #727
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #730
Delving into Noisy Label Detection with Clean Data
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #734
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
[
Poster]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #736
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
[
PDF]
Poster
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 #812
On the Initialization of Graph Neural Networks
[
PDF]
Poster Session
Thu Jul 27 01:30 PM -- 03:00 PM (PDT) @ Exhibit Hall 1 None
Poster Session 5
Lunch -(On Your Own)
Thu Jul 27 03:00 PM -- 04:30 PM (PDT) None
Lunch -(On Your Own)
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #112
Reparameterized Policy Learning for Multimodal Trajectory Optimization
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #117
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #121
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #123
Non-autoregressive Conditional Diffusion Models for Time Series Prediction
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #124
DiscoBAX - Discovery of optimal intervention sets in genomic experiment design
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #128
Graphically Structured Diffusion Models
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #129
TRAK: Attributing Model Behavior at Scale
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #130
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #133
Toward Efficient Gradient-Based Value Estimation
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #204
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #223
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #228
Equivariant Polynomials for Graph Neural Networks
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #233
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #237
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #302
LEVER: Learning to Verify Language-to-Code Generation with Execution
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #304
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #306
Continuously Parameterized Mixture Models
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #308
Understanding Self-Predictive Learning for Reinforcement Learning
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #309
On the Statistical Benefits of Temporal Difference Learning
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #310
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #316
$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #318
Which Invariance Should We Transfer? A Causal Minimax Learning Approach
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #321
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #325
Consistency of Multiple Kernel Clustering
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #328
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #329
The Price of Differential Privacy under Continual Observation
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #330
Subset-Based Instance Optimality in Private Estimation
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #337
Tighter Analysis for ProxSkip
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #416
Data Feedback Loops: Model-driven Amplification of Dataset Biases
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #209
When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #420
Hierarchies of Reward Machines
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #425
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #429
Learning in POMDPs is Sample-Efficient with Hindsight Observability
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #430
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #433
Quantifying Human Priors over Social and Navigation Networks
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #440
Distributed Linear Bandits under Communication Constraints
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #500
Scaling Laws for Multilingual Neural Machine Translation
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #506
Disentangled Multiplex Graph Representation Learning
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #508
Provably Learning Object-Centric Representations
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #510
Scaling Laws for Generative Mixed-Modal Language Models
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #517
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #522
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #528
Simplex Random Features
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #530
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #540
Direct Parameterization of Lipschitz-Bounded Deep Networks
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #545
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #603
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #605
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #607
Robust Budget Pacing with a Single Sample
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #608
Poisoning Language Models During Instruction Tuning
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #609
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #612
Learning to Initiate and Reason in Event-Driven Cascading Processes
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #615
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #616
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #618
Learning to Optimize Differentiable Games
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #619
Generating Language Corrections for Teaching Physical Control Tasks
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #621
On Penalty-based Bilevel Gradient Descent Method
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #626
Recasting Self-Attention with Holographic Reduced Representations
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #627
Coder Reviewer Reranking for Code Generation
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #630
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #634
Cross-Modal Fine-Tuning: Align then Refine
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #638
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #701
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #707
Learning Control-Oriented Dynamical Structure from Data
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #718
Linear Causal Disentanglement via Interventions
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #720
MANSA: Learning Fast and Slow in Multi-Agent Systems
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #721
Thompson Sampling with Less Exploration is Fast and Optimal
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #723
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #727
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #728
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #733
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #739
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #803
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #804
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
[
Poster]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #806
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning
[
PDF]
Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #809
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
[
PDF]
Poster Session
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 None
Poster Session 6
Coffee Only Break
Thu Jul 27 06:00 PM -- 06:30 PM (PDT) None
Coffee Only Break
Oral
Thu Jul 27 06:00 PM -- 06:08 PM (PDT) @ Ballroom A None
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
[
PDF]
Oral
Thu Jul 27 06:00 PM -- 06:08 PM (PDT) @ Ballroom C None
Learning Mixtures of Markov Chains and MDPs
In
Oral C5 Misc
[
PDF]
Oral
Thu Jul 27 06:00 PM -- 06:08 PM (PDT) @ Meeting Room 316 A-C None
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
[
PDF]
Oral
Thu Jul 27 06:00 PM -- 06:08 PM (PDT) @ Ballroom B None
Second-Order Optimization with Lazy Hessians
[
PDF]
Oral
Thu Jul 27 06:00 PM -- 06:08 PM (PDT) @ Meeting Room 313 None
Mimetic Initialization of Self-Attention Layers
[
PDF]
Oral C6
Thu Jul 27 06:00 PM -- 07:30 PM (PDT) @ Exhibit Hall 2 None
The Societal Impacts of AI
Session
Thu Jul 27 06:00 PM -- 07:30 PM (PDT) @ Ballroom B None
Oral C4 Optimization
Session
Thu Jul 27 06:00 PM -- 07:30 PM (PDT) @ Ballroom A None
Oral C3 Multimodal and Pretaining
Oral Session
Thu Jul 27 06:00 PM -- 07:30 PM (PDT) @ Ballroom C None
Oral C5 Misc
Session
Thu Jul 27 06:00 PM -- 07:30 PM (PDT) @ Meeting Room 316 A-C None
Oral C2 Time Series / Dynamics / Sequences
Session
Thu Jul 27 06:00 PM -- 07:30 PM (PDT) @ Meeting Room 313 None
Oral C1 Supervised Learning
Oral
Thu Jul 27 06:08 PM -- 06:16 PM (PDT) @ Ballroom C None
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
In
Oral C5 Misc
[
PDF]
Oral
Thu Jul 27 06:08 PM -- 06:16 PM (PDT) @ Meeting Room 316 A-C None
Self-Interpretable Time Series Prediction with Counterfactual Explanations
[
PDF]
Oral
Thu Jul 27 06:16 PM -- 06:24 PM (PDT) @ Meeting Room 316 A-C None
Resurrecting Recurrent Neural Networks for Long Sequences
[
PDF]
Oral
Thu Jul 27 06:16 PM -- 06:24 PM (PDT) @ Ballroom A None
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
[
PDF]
Oral
Thu Jul 27 06:16 PM -- 06:24 PM (PDT) @ Ballroom C None
How Bad is Top-$K$ Recommendation under Competing Content Creators?
In
Oral C5 Misc
[
PDF]
Oral
Thu Jul 27 06:24 PM -- 06:32 PM (PDT) @ Ballroom C None
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
In
Oral C5 Misc
[
PDF]
Oral
Thu Jul 27 06:24 PM -- 06:32 PM (PDT) @ Ballroom A None
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
[
PDF]
Oral
Thu Jul 27 06:24 PM -- 06:32 PM (PDT) @ Ballroom B None
Continuation Path Learning for Homotopy Optimization
[
PDF]
Oral
Thu Jul 27 06:24 PM -- 06:32 PM (PDT) @ Meeting Room 316 A-C None
Inferring Relational Potentials in Interacting Systems
[
PDF]
Oral
Thu Jul 27 06:32 PM -- 06:40 PM (PDT) @ Ballroom B None
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
[
PDF]
Oral
Thu Jul 27 06:32 PM -- 06:40 PM (PDT) @ Ballroom A None
Cross-Modal Fine-Tuning: Align then Refine
[
PDF]
Oral
Thu Jul 27 06:32 PM -- 06:40 PM (PDT) @ Ballroom C None
Equivariant Polynomials for Graph Neural Networks
In
Oral C5 Misc
[
PDF]
Oral
Thu Jul 27 06:32 PM -- 06:40 PM (PDT) @ Meeting Room 313 None
Tilted Sparse Additive Models
[
PDF]
Oral
Thu Jul 27 06:32 PM -- 06:40 PM (PDT) @ Meeting Room 316 A-C None
Memory-Based Dual Gaussian Processes for Sequential Learning
[
PDF]
Oral
Thu Jul 27 06:40 PM -- 06:48 PM (PDT) @ Meeting Room 313 None
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
[
PDF]
Oral
Thu Jul 27 06:40 PM -- 06:48 PM (PDT) @ Ballroom C None
Taming graph kernels with random features
In
Oral C5 Misc
[
PDF]
Oral
Thu Jul 27 06:40 PM -- 06:48 PM (PDT) @ Ballroom A None
Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models
[
PDF]
Oral
Thu Jul 27 06:40 PM -- 06:48 PM (PDT) @ Ballroom B None
Buying Information for Stochastic Optimization
[
PDF]
Oral
Thu Jul 27 06:40 PM -- 06:48 PM (PDT) @ Meeting Room 316 A-C None
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features
[
PDF]
Oral
Thu Jul 27 06:48 PM -- 06:56 PM (PDT) @ Ballroom C None
Robust Budget Pacing with a Single Sample
In
Oral C5 Misc
[
PDF]
Oral
Thu Jul 27 06:48 PM -- 06:56 PM (PDT) @ Meeting Room 313 None
Hyena Hierarchy: Towards Larger Convolutional Language Models
[
PDF]
Oral
Thu Jul 27 06:48 PM -- 06:56 PM (PDT) @ Ballroom A None
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
[
PDF]
Oral
Thu Jul 27 06:48 PM -- 06:56 PM (PDT) @ Ballroom B None
A Fully First-Order Method for Stochastic Bilevel Optimization
[
PDF]
Oral
Thu Jul 27 06:56 PM -- 07:04 PM (PDT) @ Meeting Room 313 None
Direct Parameterization of Lipschitz-Bounded Deep Networks
[
PDF]
Oral
Thu Jul 27 06:56 PM -- 07:04 PM (PDT) @ Ballroom C None
Multicalibration as Boosting for Regression
In
Oral C5 Misc
[
PDF]
Oral
Thu Jul 27 06:56 PM -- 07:04 PM (PDT) @ Ballroom B None
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
[
PDF]
Oral
Thu Jul 27 06:56 PM -- 07:04 PM (PDT) @ Meeting Room 316 A-C None
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
[
PDF]
Oral
Thu Jul 27 07:04 PM -- 07:12 PM (PDT) @ Ballroom B None
Learning-Rate-Free Learning by D-Adaptation
[
PDF]
Oral
Thu Jul 27 07:04 PM -- 07:12 PM (PDT) @ Ballroom A None
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
[
PDF]
Oral
Thu Jul 27 07:04 PM -- 07:12 PM (PDT) @ Meeting Room 316 A-C None
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
[
PDF]
Oral
Thu Jul 27 07:12 PM -- 07:20 PM (PDT) @ Ballroom A None
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
[
PDF]
Oral
Thu Jul 27 07:12 PM -- 07:20 PM (PDT) @ Meeting Room 316 A-C None
Learning Control-Oriented Dynamical Structure from Data
[
PDF]
Reception
Thu Jul 27 07:30 PM -- 08:45 PM (PDT) @ Concourse Foyer Level 3 Ala Halawai None
Closing Reception
Registration Desk
Fri Jul 28 11:00 AM -- 07:00 PM (PDT) @ First Floor Main Lobby None
Registration
Workshop
Fri Jul 28 11:50 AM -- 08:00 PM (PDT) @ Ballroom A None
2nd ICML Workshop on New Frontiers in Adversarial Machine Learning
Workshop
Fri Jul 28 11:55 AM -- 08:10 PM (PDT) @ Meeting Room 317 A None
Workshop on Theory of Mind in Communicating Agents
Workshop
Fri Jul 28 12:00 PM -- 07:00 PM (PDT) @ Ballroom B None
New Frontiers in Learning, Control, and Dynamical Systems
Workshop
Fri Jul 28 12:00 PM -- 07:45 PM (PDT) @ Meeting Room 314 None
PAC-Bayes Meets Interactive Learning
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 311 None
Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 320 None
The Synergy of Scientific and Machine Learning Modelling (SynS & ML) Workshop
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 310 None
Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 312 None
2nd Workshop on Formal Verification of Machine Learning
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 313 None
Challenges in Deployable Generative AI
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 315 None
HiLD: High-dimensional Learning Dynamics Workshop
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 301 None
Knowledge and Logical Reasoning in the Era of Data-driven Learning
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 316 AB None
The Many Facets of Preference-Based Learning
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 323 None
Structured Probabilistic Inference and Generative Modeling
Workshop
Fri Jul 28 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 317 B None
2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
Affinity Workshop
Fri Jul 28 12:15 PM -- 07:45 PM (PDT) @ Meeting Room 316C None
4th Women in Machine Learning (WiML) Un-Workshop
Workshop
Fri Jul 28 12:15 PM -- 08:00 PM (PDT) @ Ballroom C None
3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH)
Coffee Break
Fri Jul 28 01:00 PM -- 01:30 PM (PDT) None
Coffee Break
Break
Fri Jul 28 03:00 PM -- 04:30 PM (PDT) None
Lunch -(On Your Own)
Coffee Break
Fri Jul 28 06:00 PM -- 06:30 PM (PDT) None
Coffee Break
Registration Desk
Sat Jul 29 11:00 AM -- 02:00 PM (PDT) @ First Floor Main Lobby None
Registration
Workshop
Sat Jul 29 11:50 AM -- 08:00 PM (PDT) @ Meeting Room 316 AB None
The Second Workshop on Spurious Correlations, Invariance and Stability
Workshop
Sat Jul 29 11:55 AM -- 12:00 AM (PDT) @ Ballroom A None
ES-FoMo: Efficient Systems for Foundation Models
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 311 None
Artificial Intelligence & Human Computer Interaction
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 315 None
Interactive Learning with Implicit Human Feedback
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 317 B None
2nd ICML Workshop on Machine Learning for Astrophysics
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 317 A None
Neural Compression: From Information Theory to Applications
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 314 None
ICML 2023 Workshop on Computational Biology
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Ballroom C None
DMLR Workshop: Data-centric Machine Learning Research
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Ballroom B None
Generative AI and Law (GenLaw)
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 301 None
“Could it have been different?” Counterfactuals in Minds and Machines
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 320 None
Duality Principles for Modern Machine Learning
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 310 None
Localized Learning: Decentralized Model Updates via Non-Global Objectives
Workshop
Sat Jul 29 12:00 PM -- 08:00 PM (PDT) @ Meeting Room 323 None
Machine Learning for Multimodal Healthcare Data
Workshop
Sat Jul 29 12:00 PM -- 08:15 PM (PDT) @ Meeting Room 313 None
Neural Conversational AI Workshop - What’s left to TEACH (Trustworthy, Enhanced, Adaptable, Capable and Human-centric) chatbots?
Workshop
Sat Jul 29 12:00 PM -- 07:45 PM (PDT) @ Meeting Room 312 None
Sampling and Optimization in Discrete Space
Affinity Workshop
Sat Jul 29 12:15 PM -- 08:15 PM (PDT) @ Meeting Room 316C None
Indigenous in AI Workshop
Coffee Break
Sat Jul 29 01:00 PM -- 01:30 PM (PDT) None
Coffee Break
Break
Sat Jul 29 03:00 PM -- 04:30 PM (PDT) None
Lunch -(On Your Own)
Coffee Break
Sat Jul 29 06:00 PM -- 06:30 PM (PDT) None
Coffee Break