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