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07/20/2023
Synthetic Control Methods by Density Matching under Implicit Endogeneity
Synthetic control methods (SCMs) have become a crucial tool for causal i...
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03/08/2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data
We address the issue of binary classification from positive and unlabele...
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02/06/2023
Asymptotically Minimax Optimal Fixed-Budget Best Arm Identification for Expected Simple Regret Minimization
We investigate fixed-budget best arm identification (BAI) for expected s...
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09/15/2022
Semiparametric Best Arm Identification with Contextual Information
We study best-arm identification with a fixed budget and contextual (cov...
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03/10/2022
Spatially-Varying Bayesian Predictive Synthesis for Flexible and Interpretable Spatial Prediction
Spatial data are characterized by their spatial dependence, which is oft...
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02/10/2022
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression
We study the benign overfitting theory in the prediction of the conditio...
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01/31/2022
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics
This paper provides a unified perspective for the Kullback-Leibler (KL)-...
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01/12/2022
Best Arm Identification with a Fixed Budget under a Small Gap
We consider the fixed-budget best arm identification problem in the mult...
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11/18/2021
Optimal Simple Regret in Bayesian Best Arm Identification
We consider Bayesian best arm identification in the multi-armed bandit p...
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09/16/2021
Policy Choice and Best Arm Identification: Comments on "Adaptive Treatment Assignment in Experiments for Policy Choice"
Adaptive experimental design for efficient decision-making is an importa...
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08/03/2021
Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting
We consider learning causal relationships under conditional moment condi...
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06/26/2021
The Role of Contextual Information in Best Arm Identification
We study the best-arm identification problem with fixed confidence when ...
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05/11/2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Learning from implicit feedback is challenging because of the difficult ...
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02/17/2021
Counterfactual Inference of the Mean Outcome under a Convergence of Average Logging Probability
Adaptive experiments, including efficient average treatment effect estim...
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01/19/2021
Density-Ratio Based Personalised Ranking from Implicit Feedback
Learning from implicit user feedback is challenging as we can only obser...
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10/24/2020
ATRO: Adversarial Training with a Rejection Option
This paper proposes a classification framework with a rejection option t...
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10/23/2020
Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy
The goal of off-policy evaluation (OPE) is to evaluate a new policy usin...
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10/23/2020
A Practical Guide of Off-Policy Evaluation for Bandit Problems
Off-policy evaluation (OPE) is the problem of estimating the value of a ...
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10/08/2020
Theoretical and Experimental Comparison of Off-Policy Evaluation from Dependent Samples
We theoretically and experimentally compare estimators for off-policy ev...
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10/03/2020
Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning
In real-world decision-making problems, risk management is critical. Amo...
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09/28/2020
Learning Classifiers under Delayed Feedback with a Time Window Assumption
We consider training a binary classifier under delayed feedback (DF Lear...
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06/12/2020
Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales
This study addresses the problem of off-policy evaluation (OPE) from dep...
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06/12/2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
The estimation of the ratio of two probability densities has garnered at...
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02/26/2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
We consider the evaluation and training of a new policy for the evaluati...
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02/13/2020
Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm
Many scientific experiments have an interest in the estimation of the av...
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11/02/2019
Model Specification Test with Unlabeled Data: Approach from Covariate Shift
We propose a novel framework of the model specification test in regressi...
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04/18/2019
Particle Filter on Episode
Differently from animals, robots can record its experience correctly for...
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09/15/2018