Tongzheng Ren
Tongzheng Ren
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MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training
C Gong, T Ren, M Ye, Q Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Reward shaping via meta-learning
H Zou, T Ren, D Yan, H Su, J Zhu
arXiv preprint arXiv:1901.09330, 2019
Learning to write stylized chinese characters by reading a handful of examples
D Sun, T Ren, C Li, H Su, J Zhu
arXiv preprint arXiv:1712.06424, 2017
Function space particle optimization for Bayesian neural networks
Z Wang, T Ren, J Zhu, B Zhang
arXiv preprint arXiv:1902.09754, 2019
Accountable off-policy evaluation with kernel bellman statistics
Y Feng, T Ren, Z Tang, Q Liu
International Conference on Machine Learning, 3102-3111, 2020
Nearly horizon-free offline reinforcement learning
T Ren, J Li, B Dai, SS Du, S Sanghavi
Advances in neural information processing systems 34, 15621-15634, 2021
Unsupervised Out-of-Domain Detection via Pre-trained Transformers
K Xu, T Ren, S Zhang, Y Feng, C Xiong
arXiv preprint arXiv:2106.00948, 2021
Implicit regularization and convergence for weight normalization
X Wu, E Dobriban, T Ren, S Wu, Z Li, S Gunasekar, R Ward, Q Liu
Advances in Neural Information Processing Systems 33, 2835-2847, 2020
Making Linear MDPs Practical via Contrastive Representation Learning
T Zhang, T Ren, M Yang, J Gonzalez, D Schuurmans, B Dai
International Conference on Machine Learning, 26447-26466, 2022
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information
Y Zhou, T Ren, J Li, D Yan, J Zhu
arXiv preprint arXiv:1810.04433, 2018
Hierarchical sliced Wasserstein distance
K Nguyen, T Ren, H Nguyen, L Rout, T Nguyen, N Ho
arXiv preprint arXiv:2209.13570, 2022
A free lunch from the noise: Provable and practical exploration for representation learning
T Ren, T Zhang, C Szepesvári, B Dai
Uncertainty in Artificial Intelligence, 1686-1696, 2022
Linear bandit algorithms with sublinear time complexity
S Yang, T Ren, S Shakkottai, E Price, IS Dhillon, S Sanghavi
International Conference on Machine Learning, 25241-25260, 2022
Stein self-repulsive dynamics: Benefits from past samples
M Ye, T Ren, Q Liu
Advances in Neural Information Processing Systems 33, 241-252, 2020
Spectral Decomposition Representation for Reinforcement Learning
T Ren, T Zhang, L Lee, JE Gonzalez, D Schuurmans, B Dai
arXiv preprint arXiv:2208.09515, 2022
Towards statistical and computational complexities of Polyak step size gradient descent
T Ren, F Cui, A Atsidakou, S Sanghavi, N Ho
International Conference on Artificial Intelligence and Statistics, 3930-3961, 2022
Scalable quasi-bayesian inference for instrumental variable regression
Z Wang, Y Zhou, T Ren, J Zhu
Advances in Neural Information Processing Systems 34, 10469-10482, 2021
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
J Li, T Ren, D Yan, H Su, J Zhu
arXiv preprint arXiv:2203.06587, 2022
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games
J Li, Y Zhou, T Ren, J Zhu
Conference on Uncertainty in Artificial Intelligence, 201-210, 2020
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
K Nguyen, T Ren, N Ho
arXiv preprint arXiv:2301.03749, 2023
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