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Oral
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Wed 15:50
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Statistical Efficiency of Distributional Temporal Difference Learning
Yang Peng · Liangyu Zhang · Zhihua Zhang
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Poster
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Wed 16:30
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Progressive Entropic Optimal Transport Solvers
Parnian Kassraie · Aram-Alexandre Pooladian · Michal Klein · James Thornton · Jonathan Niles-Weed · Marco Cuturi
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Poster
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Wed 16:30
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Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
Mathieu Even · Luca Ganassali · Jakob Maier · Laurent Massoulié
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Poster
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Thu 11:00
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Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Yihan Zhang · Marco Mondelli
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Poster
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Fri 16:30
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Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
Lorenzo Tiberi · Francesca Mignacco · Kazuki Irie · Haim Sompolinsky
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Poster
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Wed 11:00
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Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
Hao Yan · Keith Levin
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Poster
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Wed 16:30
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Generalized Fast Exact Conformalization
Diyang Li
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Poster
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Fri 16:30
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The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Ezra Edelman · Nikolaos Tsilivis · Benjamin Edelman · Eran Malach · Surbhi Goel
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Poster
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Thu 11:00
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Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
Jingtong Su · Julia Kempe · Karen Ullrich
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Poster
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Thu 11:00
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Statistical Inference for Fairness Auditing
John Cherian · Emmanuel Candes
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Poster
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Wed 11:00
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Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
Leo Zhou · Joao Basso · Song Mei
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Poster
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Fri 16:30
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Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs
Kevin Tan · Wei Fan · Yuting Wei
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