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Robustify Transformers with Robust Kernel Density Estimation


Oct 11, 2022
Xing Han, Tongzheng Ren, Tan Minh Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho

* 17 pages, 2 figures, 2 tables 

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Hierarchical Sliced Wasserstein Distance


Sep 30, 2022
Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Nguyen, Nhat Ho

* 28 pages, 7 figures, 3 tables 

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Spectral Decomposition Representation for Reinforcement Learning


Aug 19, 2022
Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

* The first two authors contribute equally 

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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

* ICML 2022. The first two authors contribute equally 

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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

* 17 pages, 3 figures, 4 tables 

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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

* 38 pages, 4 figures. Tongzheng Ren and Fuheng Cui contributed equally to this work 

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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

* 26 pages. The authors are listed in alphabetical order 

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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

* AAAI 2022 

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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

* AAAI 2022 

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