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Workshop
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Sufficient Conditions for Non-asymptotic Convergence of Riemannian Optimization Methods
Vishwak Srinivasan · Ashia Wilson
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Poster
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Tue 9:00
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Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems
Yahya Sattar · Samet Oymak
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Poster
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A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Eloïse Berthier · Ziad Kobeissi · Francis Bach
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Poster
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Wed 9:00
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Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
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Poster
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Thu 14:00
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A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou · Frederic Koehler · Pragya Sur · Danica J. Sutherland · Nati Srebro
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Workshop
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Sufficient conditions for non-asymptotic convergence of Riemannian optimization methods
Vishwak Srinivasan · Ashia Wilson
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Poster
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Thu 9:00
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Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
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Poster
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Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
HuiYang Shao · Qianqian Xu · Zhiyong Yang · Shilong Bao · Qingming Huang
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Poster
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Wed 9:00
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Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
Tianyuan Jin · Pan Xu · Xiaokui Xiao · Anima Anandkumar
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Poster
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Thu 9:00
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Asymptotics of smoothed Wasserstein distances in the small noise regime
Yunzi Ding · Jonathan Niles-Weed
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Panel
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Wed 10:45
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Panel 3B-4: Learning and Covering… & Asymptotics of smoothed…
Jonathan Niles-Weed · Konstantinos Stavropoulos
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Poster
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Wed 9:00
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Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality
Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
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