Chao Tian
11 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (21)
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π§¬
Topic Evolution
π
Century Club
(10)
π₯
Unstoppable
(6)
Conferences
NIPS (4)
AISTATS (3)
COLING (1)
EACL (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
regret bound
(3)
natural policy gradient
(2)
sample complexity
(2)
adversarial learning
(1)
model robustness
(1)
neural network optimization
(1)
function approximation
(1)
kl divergence
(1)
text generation
(1)
natural gradient
(1)
policy learning
(1)
robust reinforcement learning
(1)
machine translation
(1)
markov decision process
(1)
online learning
(1)
nash equilibrium
(1)
natural actor-critic
(1)
entropy maximization
(1)
primal-dual algorithm
(1)
reinforcement learning
(1)
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
Provable Policy Gradient Methods for Average-Reward Markov Potential Games
AISTATS 2024
Latent 3D Graph Diffusion
ICLR 2024
Path-Guided Particle-based Sampling
ICML 2024
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
NIPS 2023
Federated Linear Bandits with Finite Adversarial Actions
NIPS 2023
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
NIPS 2022
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances
AISTATS 2022
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
NIPS 2021
Train Once, and Decode As You Like
COLING 2020