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Poster
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Wed 11:00
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Distributed Least Squares in Small Space via Sketching and Bias Reduction
Sachin Garg · Kevin Tan · Michal Derezinski
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Workshop
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A Theory of Initialisation's Impact on Specialisation
Devon Jarvis · Sebastian Lee · Clémentine Dominé · Andrew Saxe · Stefano Sarao Mannelli
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Poster
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Fri 16:30
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Variance estimation in compound decision theory under boundedness
Subhodh Kotekal
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Poster
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Thu 11:00
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A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee · Se-Young Yun · Kwang-Sung Jun
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Poster
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Wed 11:00
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Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures
Xin Chen · Anderson Ye Zhang
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Poster
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Adjust Pearson's to Measure Arbitrary Monotone Dependence
Xinbo Ai
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Oral
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Wed 10:40
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Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures
Xin Chen · Anderson Ye Zhang
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Poster
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Thu 11:00
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Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
Fan Chen · Dylan J Foster · Yanjun Han · Jian Qian · Alexander Rakhlin · Yunbei Xu
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Poster
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Wed 16:30
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On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
Nirmit Joshi · Theodor Misiakiewicz · Nati Srebro
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Poster
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Fri 16:30
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Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
Alexander Havrilla · Wenjing Liao
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Poster
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Thu 16:30
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Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear -Realizability and Concentrability
Volodymyr Tkachuk · Gellert Weisz · Csaba Szepesvari
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Poster
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Fri 11:00
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Nonparametric Evaluation of Noisy ICA Solutions
Syamantak Kumar · Derek Bean · peter j bickel · Purnamrita Sarkar
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