Tongzheng Ren

According to our database, Tongzheng Ren authored at least 42 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models.

Qiujiang Jin, Tongzheng Ren, Nhat Ho, Aryan Mokhtari

Trans. Mach. Learn. Res., 2024

Spectral Representation for Causal Estimation with Hidden Confounders.

Tongzheng Ren, Haotian Sun, Antoine Moulin, Arthur Gretton, Bo Dai

CoRR, 2024

DeepSeek-VL: Towards Real-World Vision-Language Understanding.

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

CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

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

CoRR, 2024

Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning.

Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Computational Complexity in Statistical Models with Local Curvature Information.

Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Markovian Sliced Wasserstein Distances: Beyond Independent Projections.

Khai Nguyen, Tongzheng Ren, Nhat Ho

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Designing Robust Transformers using Robust Kernel Density Estimation.

Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spectral Decomposition Representation for Reinforcement Learning.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Latent Variable Representation for Reinforcement Learning.

Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hierarchical Sliced Wasserstein Distance.

Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Minh Nguyen, Nhat Ho

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding.

Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Robustify Transformers with Robust Kernel Density Estimation.

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

CoRR, 2022

Hierarchical Sliced Wasserstein Distance.

Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Nguyen, Nhat Ho

CoRR, 2022

Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering.

Xing Han, Tongzheng Ren, Jing Hu, Joydeep Ghosh, Nhat Ho

CoRR, 2022

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

Tongzheng Ren, Fuheng Cui, Sujay Sanghavi, Nhat Ho

CoRR, 2022

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

Nhat Ho, Tongzheng Ren, Sujay Sanghavi, Purnamrita Sarkar, Rachel A. Ward

CoRR, 2022

Improving Computational Complexity in Statistical Models with Second-Order Information.

Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho

CoRR, 2022

A free lunch from the noise: Provable and practical exploration for representation learning.

Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Making Linear MDPs Practical via Contrastive Representation Learning.

Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai

Proceedings of the International Conference on Machine Learning, 2022

Linear Bandit Algorithms with Sublinear Time Complexity.

Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi

Proceedings of the International Conference on Machine Learning, 2022

Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent.

Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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

Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Combinatorial Bandits without Total Order for Arms.

Shuo Yang, Tongzheng Ren, Inderjit S. Dhillon, Sujay Sanghavi

CoRR, 2021

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression.

Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Nearly Horizon-Free Offline Reinforcement Learning.

Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training.

Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Out-of-Domain Detection via Pre-trained Transformers.

Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Task-Distribution Reward Shaping with Meta-Learning.

Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MaxUp: A Simple Way to Improve Generalization of Neural Network Training.

ChengYue Gong, Tongzheng Ren, Mao Ye, Qiang Liu

CoRR, 2020

Exploration Analysis in Finite-Horizon Turn-based Stochastic Games.

Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Stein Self-Repulsive Dynamics: Benefits From Past Samples.

Mao Ye, Tongzheng Ren, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Implicit Regularization and Convergence for Weight Normalization.

Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Accountable Off-Policy Evaluation With Kernel Bellman Statistics.

Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu

Proceedings of the 37th International Conference on Machine Learning, 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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Implicit Regularization of Normalization Methods.

Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu

CoRR, 2019

Reward Shaping via Meta-Learning.

Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

CoRR, 2019

Function Space Particle Optimization for Bayesian Neural Networks.

Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang

Proceedings of the 7th International Conference on Learning Representations, 2019

Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent.

Jialian Li, Tongzheng Ren, Hang Su, Jun Zhu

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information.

Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu

CoRR, 2018

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples.

Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018