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10/14/2022
A Reinforcement Learning Approach to Estimating Long-term Treatment Effects
Randomized experiments (a.k.a. A/B tests) are a powerful tool for estima...
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06/27/2022
Split Localized Conformal Prediction
Conformal prediction is a simple and powerful tool that can quantify unc...
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01/29/2022
Robust Imitation Learning from Corrupted Demonstrations
We consider offline Imitation Learning from corrupted demonstrations whe...
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01/01/2022
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning
Reinforcement learning (RL) has drawn increasing interests in recent yea...
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03/09/2021
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
Off-policy evaluation (OPE) is the task of estimating the expected rewar...
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10/29/2020
Off-Policy Interval Estimation with Lipschitz Value Iteration
Off-policy evaluation provides an essential tool for evaluating the effe...
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08/15/2020
Accountable Off-Policy Evaluation With Kernel Bellman Statistics
We consider off-policy evaluation (OPE), which evaluates the performance...
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01/22/2020
PENet: Object Detection using Points Estimation in Aerial Images
Aerial imagery has been increasingly adopted in mission-critical tasks, ...
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10/28/2019
Stein Variational Gradient Descent With Matrix-Valued Kernels
Stein variational gradient descent (SVGD) is a particle-based inference ...
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10/16/2019
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation
Infinite horizon off-policy policy evaluation is a highly challenging ta...
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03/03/2019
Multiple Learning for Regression in big data
Regression problems that have closed-form solutions are well understood ...
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10/29/2018