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07/05/2023
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization
Simple regret minimization is a critical problem in learning optimal tre...
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02/17/2023
Post-Episodic Reinforcement Learning Inference
We consider estimation and inference with data collected from episodic r...
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02/03/2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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06/13/2022
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
Watch-time prediction remains to be a key factor in reinforcing user eng...
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06/01/2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Long-term engagement is preferred over immediate engagement in sequentia...
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05/26/2022
Constrained Reinforcement Learning for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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06/03/2021
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
It has become increasingly common for data to be collected adaptively, f...
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05/05/2021
Policy Learning with Adaptively Collected Data
Learning optimal policies from historical data enables the gains from pe...
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01/14/2020
Distortion Agnostic Deep Watermarking
Watermarking is the process of embedding information into an image that ...
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11/07/2019
