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Poster
Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #112
Reparameterized Policy Learning for Multimodal Trajectory Optimization
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #121
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #123
Non-autoregressive Conditional Diffusion Models for Time Series Prediction
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #124
DiscoBAX - Discovery of optimal intervention sets in genomic experiment design
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #128
Graphically Structured Diffusion Models
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #129
TRAK: Attributing Model Behavior at Scale
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #130
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #133
Toward Efficient Gradient-Based Value Estimation
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #223
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #228
Equivariant Polynomials for Graph Neural Networks
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #237
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #302
LEVER: Learning to Verify Language-to-Code Generation with Execution
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #304
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #306
Continuously Parameterized Mixture Models
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #308
Understanding Self-Predictive Learning for Reinforcement Learning
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #309
On the Statistical Benefits of Temporal Difference Learning
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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
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #318
Which Invariance Should We Transfer? A Causal Minimax Learning Approach
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #321
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #325
Consistency of Multiple Kernel Clustering
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #328
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #329
The Price of Differential Privacy under Continual Observation
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #330
Subset-Based Instance Optimality in Private Estimation
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #337
Tighter Analysis for ProxSkip
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #416
Data Feedback Loops: Model-driven Amplification of Dataset Biases
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #420
Hierarchies of Reward Machines
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #429
Learning in POMDPs is Sample-Efficient with Hindsight Observability
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #433
Quantifying Human Priors over Social and Navigation Networks
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #440
Distributed Linear Bandits under Communication Constraints
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #500
Scaling Laws for Multilingual Neural Machine Translation
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #506
Disentangled Multiplex Graph Representation Learning
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #508
Provably Learning Object-Centric Representations
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #510
Scaling Laws for Generative Mixed-Modal Language Models
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #517
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #522
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #528
Simplex Random Features
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #540
Direct Parameterization of Lipschitz-Bounded Deep Networks
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #545
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #603
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #605
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #607
Robust Budget Pacing with a Single Sample
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #608
Poisoning Language Models During Instruction Tuning
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #612
Learning to Initiate and Reason in Event-Driven Cascading Processes
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #615
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #616
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #618
Learning to Optimize Differentiable Games
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #619
Generating Language Corrections for Teaching Physical Control Tasks
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #621
On Penalty-based Bilevel Gradient Descent Method
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #626
Recasting Self-Attention with Holographic Reduced Representations
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #627
Coder Reviewer Reranking for Code Generation
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #634
Cross-Modal Fine-Tuning: Align then Refine
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #701
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #707
Learning Control-Oriented Dynamical Structure from Data
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #718
Linear Causal Disentanglement via Interventions
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #720
MANSA: Learning Fast and Slow in Multi-Agent Systems
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #721
Thompson Sampling with Less Exploration is Fast and Optimal
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #727
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #728
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #733
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #803
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
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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
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #806
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning
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Thu Jul 27 04:30 PM -- 06:00 PM (PDT) @ Exhibit Hall 1 #809
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
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