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Poster
Thu 7:30 Smooth Bandit Optimization: Generalization to Holder Space
Yusha Liu · Yining Wang · Aarti Singh
Poster
Tue 18:30 Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
Yoichi Chikahara · Shinsaku Sakaue · Akinori Fujino · Hisashi Kashima
Poster
Thu 7:30 Why did the distribution change?
Kailash Budhathoki · Dominik Janzing · Patrick Bloebaum · Hoiyi Ng
Poster
Thu 7:30 Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
Jeremiah Liu
Poster
Wed 6:00 Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
Nina Vesseron · Ievgen Redko · Charlotte Laclau
Poster
Wed 6:00 Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth · Mihaela van der Schaar
Poster
Tue 14:00 A constrained risk inequality for general losses
John Duchi · Feng Ruan
Poster
Tue 14:00 Non-Stationary Off-Policy Optimization
Joey Hong · Branislav Kveton · Manzil Zaheer · Yinlam Chow · Amr Ahmed
Poster
Thu 7:30 Bayesian Inference with Certifiable Adversarial Robustness
Matthew Wicker · Luca Laurenti · Andrea Patane · Zhuotong Chen · Zheng Zhang · Marta Kwiatkowska
Poster
Tue 18:30 Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
Shunsuke Horii
Oral Session
Tue 10:30 Theory of Statistical and Deep Learning Methods
Poster
Tue 18:30 Unifying Clustered and Non-stationary Bandits
Chuanhao Li · Qingyun Wu · Hongning Wang