Policy Learning with Adaptively Collected Data.
Manag. Sci., 2024
Distributionally Robust Policy Learning under Concept Drifts.
CoRR, 2024
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach.
Proceedings of the 25th ACM Conference on Economics and Computation, 2024
Adaptively Learning to Select-Rank in Online Platforms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Statistical Properties of Robust Satisficing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Post-Episodic Reinforcement Learning Inference.
CoRR, 2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation.
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Proceedings of the ACM Web Conference 2023, 2023
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Fragility Index: A New Approach for Binary Classification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.
CoRR, 2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.
CoRR, 2022
Constrained Reinforcement Learning for Short Video Recommendation.
CoRR, 2022
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Distortion Agnostic Deep Watermarking.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Confidence Intervals for Policy Evaluation in Adaptive Experiments.
CoRR, 2019
Machine learning for cardiac ultrasound time series data.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization.
SIAM J. Imaging Sci., 2016