Chao Tian
11 papers · 2020–2026 · 6 venues · across top CS/AI venues
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regret bound
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natural policy gradient
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function approximation
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model robustness
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online learning
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machine translation
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kl divergence
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text generation
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markov decision process
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policy learning
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robust reinforcement learning
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neural network optimization
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deep kernel learning
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gaussian process
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natural gradient
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Papers
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
EACL 2026
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
AISTATS 2025
Latent 3D Graph Diffusion
ICLR 2024
Path-Guided Particle-based Sampling
ICML 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games
AISTATS 2024
Federated Linear Bandits with Finite Adversarial Actions
NeurIPS 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
NeurIPS 2023
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
NeurIPS 2022
Approximate Top-m Arm Identification with Heterogeneous Reward Variances
AISTATS 2022
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
NeurIPS 2021
Train Once, and Decode As You Like
COLING 2020