Tongzheng Ren - RankMe

61 papers A* 19A 6Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Spectral Representation for Causal Estimation with Hidden Confounders. AISTATS Haotian Sun, Antoine Moulin, Tongzheng Ren, Arthur Gretton, Bo Dai
2025	J	`jnl`	Stochastic Nonlinear Control via Finite-Dimensional Spectral Dynamics Embedding. IEEE Trans. Autom. Control. Zhaolin Ren, Tongzheng Ren, Haitong Ma, Na Li, Bo Dai
2024	J	`jnl`	DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. CoRR Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, Alex X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou
2024	J	`jnl`	DeepSeek-VL: Towards Real-World Vision-Language Understanding. CoRR Haoyu Lu, Wen Liu, Bo Zhang, Bingxuan Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Hao Yang, Yaofeng Sun, Chengqi Deng, Hanwei Xu, Zhenda Xie, Chong Ruan
2024	A*	`conf`	Improving Computational Complexity in Statistical Models with Local Curvature Information. ICML Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho
2024	A*	`conf`	Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning. ICML Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
2024	J	`jnl`	Spectral Representation for Causal Estimation with Hidden Confounders. CoRR Tongzheng Ren, Haotian Sun, Antoine Moulin, Arthur Gretton, Bo Dai
2024	J	`jnl`	Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models. Trans. Mach. Learn. Res. Qiujiang Jin, Tongzheng Ren, Nhat Ho, Aryan Mokhtari
2023	A*	`conf`	Designing Robust Transformers using Robust Kernel Density Estimation. NeurIPS Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho
2023	A	`conf`	Energy-based Predictive Representations for Partially Observed Reinforcement Learning. UAI Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2023	A*	`conf`	Hierarchical Sliced Wasserstein Distance. ICLR Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Nguyen, Nhat Ho
2023	A*	`conf`	Latent Variable Representation for Reinforcement Learning. ICLR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2023	A*	`conf`	Markovian Sliced Wasserstein Distances: Beyond Independent Projections. NeurIPS Khai Nguyen, Tongzheng Ren, Nhat Ho
2023	J	`jnl`	Markovian Sliced Wasserstein Distances: Beyond Independent Projections. CoRR Khai Nguyen, Tongzheng Ren, Nhat Ho
2023	J	`jnl`	Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning. CoRR Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
2023	A*	`conf`	Spectral Decomposition Representation for Reinforcement Learning. ICLR Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2023	—	`conf`	Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CDC Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai
2023	J	`jnl`	Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CoRR Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai
2022	A	`conf`	A free lunch from the noise: Provable and practical exploration for representation learning. UAI Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai
2022	J	`jnl`	An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models. CoRR Nhat Ho, Tongzheng Ren, Sujay Sanghavi, Purnamrita Sarkar, Rachel A. Ward
2022	J	`jnl`	Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures. CoRR Tongzheng Ren, Fuheng Cui, Sujay Sanghavi, Nhat Ho
2022	J	`jnl`	Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering. CoRR Xing Han, Tongzheng Ren, Jing Hu, Joydeep Ghosh, Nhat Ho
2022	J	`jnl`	Hierarchical Sliced Wasserstein Distance. CoRR Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Nguyen, Nhat Ho
2022	J	`jnl`	Improving Computational Complexity in Statistical Models with Second-Order Information. CoRR Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho
2022	J	`jnl`	Latent Variable Representation for Reinforcement Learning. CoRR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2022	A*	`conf`	Linear Bandit Algorithms with Sublinear Time Complexity. ICML Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi
2022	A*	`conf`	Making Linear MDPs Practical via Contrastive Representation Learning. ICML Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai
2022	J	`jnl`	Making Linear MDPs Practical via Contrastive Representation Learning. CoRR Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2022	A*	`conf`	Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. AAAI Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
2022	J	`jnl`	Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. CoRR Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
2022	J	`jnl`	Robustify Transformers with Robust Kernel Density Estimation. CoRR Xing Han, Tongzheng Ren, Tan Minh Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho
2022	J	`jnl`	Spectral Decomposition Representation for Reinforcement Learning. CoRR Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
2022	A	`conf`	Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent. AISTATS Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho
2021	J	`jnl`	A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning. CoRR Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai
2021	J	`jnl`	Combinatorial Bandits without Total Order for Arms. CoRR Shuo Yang, Tongzheng Ren, Inderjit S. Dhillon, Sujay Sanghavi
2021	A*	`conf`	Learning Task-Distribution Reward Shaping with Meta-Learning. AAAI Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
2021	J	`jnl`	Linear Bandit Algorithms with Sublinear Time Complexity. CoRR Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi
2021	A*	`conf`	MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training. CVPR Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu
2021	A*	`conf`	Nearly Horizon-Free Offline Reinforcement Learning. NeurIPS Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi
2021	J	`jnl`	Nearly Horizon-Free Offline Reinforcement Learning. CoRR Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi
2021	A*	`conf`	Scalable Quasi-Bayesian Inference for Instrumental Variable Regression. NeurIPS Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu
2021	J	`jnl`	Scalable Quasi-Bayesian Inference for Instrumental Variable Regression. CoRR Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu
2021	J	`jnl`	Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent. CoRR Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho
2021	—	`conf`	Unsupervised Out-of-Domain Detection via Pre-trained Transformers. ACL/IJCNLP (1) Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong
2021	J	`jnl`	Unsupervised Out-of-Domain Detection via Pre-trained Transformers. CoRR Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong
2020	A*	`conf`	Accountable Off-Policy Evaluation With Kernel Bellman Statistics. ICML Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu
2020	J	`jnl`	Accountable Off-Policy Evaluation With Kernel Bellman Statistics. CoRR Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu
2020	A	`conf`	Exploration Analysis in Finite-Horizon Turn-based Stochastic Games. UAI Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu
2020	A*	`conf`	Implicit Regularization and Convergence for Weight Normalization. NeurIPS Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu
2020	A*	`conf`	Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. ICLR Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu
2020	J	`jnl`	MaxUp: A Simple Way to Improve Generalization of Neural Network Training. CoRR Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu
2020	A*	`conf`	Stein Self-Repulsive Dynamics: Benefits From Past Samples. NeurIPS Mao Ye, Tongzheng Ren, Qiang Liu
2020	J	`jnl`	Stein Self-Repulsive Dynamics: Benefits From Past Samples. CoRR Mao Ye, Tongzheng Ren, Qiang Liu
2019	—	`conf`	Function Space Particle Optimization for Bayesian Neural Networks. ICLR (Poster) Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
2019	J	`jnl`	Function Space Particle Optimization for Bayesian Neural Networks. CoRR Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
2019	J	`jnl`	Implicit Regularization of Normalization Methods. CoRR Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu
2019	A	`conf`	Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent. AAMAS Jialian Li, Tongzheng Ren, Hang Su, Jun Zhu
2019	J	`jnl`	Reward Shaping via Meta-Learning. CoRR Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
2018	J	`jnl`	Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. CoRR Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu
2018	A*	`conf`	Learning to Write Stylized Chinese Characters by Reading a Handful of Examples. IJCAI Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu
2017	J	`jnl`	Learning to Write Stylized Chinese Characters by Reading a Handful of Examples. CoRR Danyang Sun, Tongzheng Ren, Chongxuan Li, Jun Zhu, Hang Su