Rate-Optimal Bayesian Simple Regret in Best Arm Identification

論文誌・国際会議

Mathematics of Operations Research

Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics

論文誌・国際会議

AISTATS 2023

Learning Classifiers under Delayed Feedback with a Time Window Assumption

論文誌・国際会議

KDD 2022

Learning Causal Relationship from Conditional Moment Condition by Importance Weighting

論文誌・国際会議

ICLR 2022

Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression

論文誌・国際会議

Workshop on the Theory of Overparameterized Machine Learning

Mean Variance Efficient Reinforcement Learning

論文誌・国際会議

NeurIPS workshop on Deep Reinforcement Learning

The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy

論文誌・国際会議

NeurIPS 2021

Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

論文誌・国際会議

ICML 2021

Adaptive Experimental Design for Efficient Treatment Effect Estimation

論文誌・国際会議

NeurIPS 2020 Causal Discovery and Causality-Inspired Machine Learning Workshop

Scalable Personalised Item Ranking through Parametric Density Estimation

論文誌・国際会議

SIGIR 2021

Density-Ratio Based Personalised Ranking from Implicit Feedback

論文誌・国際会議

WWW 2021

Off-Policy Evaluation and Learning for External Validity under a Covariate Shift

論文誌・国際会議

NeurIPS 2020 (Spot Light)