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Tongzheng Ren

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Making Linear MDPs Practical via Contrastive Representation Learning

Jul 14, 2022
Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

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Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering

May 27, 2022
Xing Han, Tongzheng Ren, Jing Hu, Joydeep Ghosh, Nhat Ho

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Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures

May 23, 2022
Tongzheng Ren, Fuheng Cui, Sujay Sanghavi, Nhat Ho

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An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models

May 16, 2022
Nhat Ho, Tongzheng Ren, Sujay Sanghavi, Purnamrita Sarkar, Rachel Ward

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Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model

Mar 15, 2022
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

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Policy Learning for Robust Markov Decision Process with a Mismatched Generative Mode

Mar 13, 2022
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

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Improving Computational Complexity in Statistical Models with Second-Order Information

Feb 10, 2022
Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho

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A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning

Nov 22, 2021
Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai

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Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent

Oct 15, 2021
Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho

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Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

Jun 16, 2021
Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu

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