Ren, Tongzheng

29 publications

AISTATS 2025 Spectral Representation for Causal Estimation with Hidden Confounders Haotian Sun, Antoine Moulin, Tongzheng Ren, Arthur Gretton, Bo Dai

ICML 2024 Improving Computational Complexity in Statistical Models with Local Curvature Information Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho

ICML 2024 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai

NeurIPSW 2024 Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren, Haotian Sun, Antoine Moulin, Arthur Gretton, Bo Dai

TMLR 2024 Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models Qiujiang Jin, Tongzheng Ren, Nhat Ho, Aryan Mokhtari

NeurIPS 2023 Designing Robust Transformers Using Robust Kernel Density Estimation Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho

UAI 2023 Energy-Based Predictive Representations for Partially Observed Reinforcement Learning Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

ICLR 2023 Hierarchical Sliced Wasserstein Distance Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Minh Nguyen, Nhat Ho

ICLR 2023 Latent Variable Representation for Reinforcement Learning Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai

NeurIPS 2023 Markovian Sliced Wasserstein Distances: Beyond Independent Projections Khai Nguyen, Tongzheng Ren, Nhat Ho

NeurIPSW 2023 On the Synergy Between Label Noise and Learning Rate Annealing in Neural Network Training Stanley Wei, Tongzheng Ren, Simon Shaolei Du

ICLR 2023 Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

ICMLW 2023 UCB Provably Learns from Inconsistent Human Feedback Shuo Yang, Tongzheng Ren, Inderjit S Dhillon, Sujay Sanghavi

AISTATS 2022 Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho

UAI 2022 A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai

ICML 2022 Linear Bandit Algorithms with Sublinear Time Complexity Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi

ICML 2022 Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai

AAAI 2022 Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

AAAI 2021 Learning Task-Distribution Reward Shaping with Meta-Learning Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

CVPR 2021 MaxUp: Lightweight Adversarial Training with Data Augmentation Improves Neural Network Training Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu

NeurIPS 2021 Nearly Horizon-Free Offline Reinforcement Learning Tongzheng Ren, Jialian Li, Bo Dai, Simon S Du, Sujay Sanghavi

NeurIPS 2021 Scalable Quasi-Bayesian Inference for Instrumental Variable Regression Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu

ICML 2020 Accountable Off-Policy Evaluation with Kernel Bellman Statistics Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu

UAI 2020 Exploration Analysis in Finite-Horizon Turn-Based Stochastic Games Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu

NeurIPS 2020 Implicit Regularization and Convergence for Weight Normalization Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel Ward, Qiang Liu

ICLR 2020 Lazy-CFR: Fast and Near-Optimal Regret Minimization for Extensive Games with Imperfect Information Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu

NeurIPS 2020 Stein Self-Repulsive Dynamics: Benefits from past Samples Mao Ye, Tongzheng Ren, Qiang Liu

ICLR 2019 Function Space Particle Optimization for Bayesian Neural Networks Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang

IJCAI 2018 Learning to Write Stylized Chinese Characters by Reading a Handful of Examples Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu