← Authors

Jiantao Jiao

31 papers · 2018–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (61) πŸ† Grand Slam πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (131) πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (5)

Conferences

NIPS (15) ICML (8) ICLR (3) AAAI (1) AISTATS (1) COLT (1) EMNLP (1) JMLR (1)

Top co-authors

Banghua Zhu (9) Paria Rashidinejad (5) Kannan Ramchandran (5) Yanjun Han (5) Michael Jordan (5) Tianhao Wu (4) Hanlin Zhu (4) Yuandong Tian (4) Nived Rajaraman (4) Stuart J. Russell (3)

Research topics

Applications (1) Privacy (1) Statistics (1)

Keywords

imitation learning (5) sample complexity (3) policy learning (3) large language model (3) online learning (2) language modeling (2) reinforcement learning (2) minimax rate (2) moment matching (2) offline reinforcement learning (2) federated learning (2) regret bound (2) behavior cloning (2) policy optimization (2) sample efficiency (1) model selection (1) differential privacy (1) object detection (1) reward modeling (1) image classification (1)

Papers

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge EMNLP 2025
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning ICML 2025
EmbedLLM: Learning Compact Representations of Large Language Models ICLR 2025
Thinking LLMs: General Instruction Following with Thought Generation ICML 2025
How to Evaluate Reward Models for RLHF ICLR 2025
An Analysis of Tokenization: Transformers under Markov Data NIPS 2024
Toxicity Detection for Free NIPS 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics NIPS 2024
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF ICML 2024
Online Learning in Stackelberg Games with an Omniscient Follower ICML 2023
Doubly-Robust Self-Training NIPS 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NIPS 2023
Towards Optimal Caching and Model Selection for Large Model Inference NIPS 2023
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023
Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian ICLR 2023
Jump-Start Reinforcement Learning ICML 2023
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits NIPS 2022
Minimax Optimal Online Imitation Learning via Replay Estimation NIPS 2022
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee ICML 2022
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism NIPS 2021
On the Value of Interaction and Function Approximation in Imitation Learning NIPS 2021
MADE: Exploration via Maximizing Deviation from Explored Regions NIPS 2021
Toward the Fundamental Limits of Imitation Learning NIPS 2020
SLIP: Learning to predict in unknown dynamical systems with long-term memory NIPS 2020
Approximate Profile Maximum Likelihood JMLR 2019
Theoretically Principled Trade-off between Robustness and Accuracy ICML 2019
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance COLT 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal NIPS 2018
Entropy Rate Estimation for Markov Chains with Large State Space NIPS 2018