10 Results

Workshop		Sufficient Conditions for Non-asymptotic Convergence of Riemannian Optimization Methods Vishwak Srinivasan · Ashia Wilson
Workshop		Sufficient conditions for non-asymptotic convergence of Riemannian optimization methods Vishwak Srinivasan · Ashia Wilson
Poster	Wed 9:00	Constrained Langevin Algorithms with L-mixing External Random Variables Yuping Zheng · Andrew Lamperski
Poster	Wed 14:00	An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem Arpit Agarwal · Rohan Ghuge · viswanath nagarajan
Poster	Thu 9:00	Asymptotics of smoothed Wasserstein distances in the small noise regime Yunzi Ding · Jonathan Niles-Weed
Poster	Thu 9:00	Asymptotic Properties for Bayesian Neural Network in Besov Space Kyeongwon Lee · Jaeyong Lee
Poster		Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm HuiYang Shao · Qianqian Xu · Zhiyong Yang · Shilong Bao · Qingming Huang
Poster	Wed 9:00	Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
Poster	Wed 9:00	Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits Tianyuan Jin · Pan Xu · Xiaokui Xiao · Anima Anandkumar
Poster	Tue 14:00	On the inability of Gaussian process regression to optimally learn compositional functions Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber