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Poster
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Thu 4:30
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Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
Yingying Li · Jing Yu · Lauren Conger · Taylan Kargin · Adam Wierman
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Poster
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Tue 2:30
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Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
Yuyang Zhang · Shahriar Talebi · Na Li
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Poster
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Thu 4:30
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Critical windows: non-asymptotic theory for feature emergence in diffusion models
Marvin Li · Sitan Chen
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Poster
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Tue 2:30
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Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
Yudan Wang · Yue Wang · Yi Zhou · Shaofeng Zou
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Poster
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Wed 4:30
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Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian · Haolei Weng · Yang Feng
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Workshop
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Consistent Validation for Predictive Methods in Spatial Settings
David Burt · Yunyi Shen · Tamara Broderick
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Workshop
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Asymptotic Dynamics for Delayed Feature Learning in a Toy Model
Blake Bordelon · Tanishq Kumar · Samuel Gershman · Cengiz Pehlevan
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Poster
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Wed 4:30
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On the Asymptotic Distribution of the Minimum Empirical Risk
Jacob Westerhout · TrungTin Nguyen · Xin Guo · Hien Nguyen
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Workshop
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The Price of Freedom: Exploring Tradeoffs between Expressivity and Computational Efficiency in Equivariant Tensor Products
YuQing Xie · Ameya Daigavane · Mit Kotak · Tess Smidt
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Poster
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Thu 4:30
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Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
Panagiotis Koromilas · Giorgos Bouritsas · Theodoros Giannakopoulos · Mihalis Nicolaou · Yannis Panagakis
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Poster
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Wed 2:30
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Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
VIKAS DEEP · Achal Bassamboo · Sandeep Juneja
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Poster
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Thu 4:30
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Asymptotics of Learning with Deep Structured (Random) Features
Dominik Schröder · Daniil Dmitriev · Hugo Cui · Bruno Loureiro
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