Tian, Chao

12 publications

AISTATS 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation Wenyuan Zhao, Haoyuan Chen, Tie Liu, Rui Tuo, Chao Tian

NeurIPS 2025 Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions Wenyuan Zhao, Adithya Balachandran, Chao Tian, Paul Pu Liang

ICLR 2024 Latent 3D Graph Diffusion Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

ICML 2024 Path-Guided Particle-Based Sampling Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning Qian

AISTATS 2024 Provable Policy Gradient Methods for Average-Reward Markov Potential Games Min Cheng, Ruida Zhou, P. R. Kumar, Chao Tian

NeurIPSW 2024 Transformers Learn to Compress Variable-Order Markov Chains In-Context Ruida Zhou, Chao Tian, Suhas Diggavi

NeurIPS 2023 Federated Linear Bandits with Finite Adversarial Actions Li Fan, Ruida Zhou, Chao Tian, Cong Shen

NeurIPS 2023 Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian

AISTATS 2022 Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances Ruida Zhou, Chao Tian

NeurIPS 2022 Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian

NeurIPS 2021 Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao Liu, Ruida Zhou, Dileep Kalathil, Panganamala Kumar, Chao Tian

CVPRW 2018 Dense Fusion Classmate Network for Land Cover Classification Chao Tian, Cong Li, Jianping Shi