Search All 2021 Events
  Search abstracts

Filter by Keyword:

8 Results

<<   <   Page 1 of 1   >>   >
Poster
Tue 14:00 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences
Sreejith Sreekumar · Zhengxin Zhang · Ziv Goldfeld
Poster
Tue 18:30 The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry
Tomohiro Hayase · Ryo Karakida
Poster
Tue 18:30 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama
Poster
Wed 6:00 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information
Prathamesh Mayekar · Ananda Theertha Suresh · Himanshu Tyagi
Poster
Wed 12:45 Significance of Gradient Information in Bayesian Optimization
Shubhanshu Shekhar · Tara Javidi
Poster
Wed 12:45 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning
Zhengqing Zhou · Qinxun Bai · Zhengyuan Zhou · Linhai Qiu · Jose Blanchet · Peter Glynn
Poster
Thu 7:30 Group testing for connected communities
Pavlos Nikolopoulos · Sundara Rajan Srinivasavaradhan · Tao Guo · Christina Fragouli · Suhas Diggavi
Poster
Thu 7:30 On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili · Kia Khezeli · Victor Picheny