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Workshop
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In-Context Learning by Linear Attention: Exact Asymptotics and Experiments
Yue Lu · Mary Letey · Jacob Zavatone-Veth · Anindita Maiti · Cengiz Pehlevan
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Poster
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Wed 11:00
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Euclidean distance compression via deep random features
Brett Leroux · Luis Rademacher
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Workshop
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Randomly Pivoted V-optimal Design: Fast Data Selection under Low Intrinsic Dimension
Yijun Dong · Xiang Pan · Viet Hoang Phan · Qi Lei
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Workshop
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Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli · Bernardo Grau
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Poster
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Thu 16:30
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Randomized Truthful Auctions with Learning Agents
Gagan Aggarwal · Anupam Gupta · Andres Perlroth · Grigoris Velegkas
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Workshop
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Dyson Brownian motion and random matrix dynamics of weight matrices during learning
Gert Aarts · Ouraman Hajizadeh · Biagio Lucini · Chanju Park
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Poster
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Wed 11:00
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On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
Guhan Chen · Yicheng Li · Qian Lin
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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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Randomized Strategic Facility Location with Predictions
Eric Balkanski · Vasilis Gkatzelis · Golnoosh Shahkarami
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Poster
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Wed 16:30
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Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
Gautam Chandrasekaran · Vasilis Kontonis · Konstantinos Stavropoulos · Kevin Tian
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Poster
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Thu 11:00
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Dimension-free deterministic equivalents and scaling laws for random feature regression
Leonardo Defilippis · Bruno Loureiro · Theodor Misiakiewicz
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Poster
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Wed 11:00
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Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
Jonathan Kelner · Jerry Li · Allen Liu · Aaron Sidford · Kevin Tian
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