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How to Evaluate Reward Models for RLHF
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2024
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Evan Frick
Tianle Li
C. J. Chen
Wei-Lin Chiang
Anastasios N. Angelopoulos
Jiantao Jiao
Banghua Zhu
Joseph E. Gonzalez
Ion Stoica
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Active-Dormant Attention Heads: Mechanistically Demystifying
Extreme-Token Phenomena in LLMs
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2024
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Tianyu Guo
Druv Pai
Yu Bai
Jiantao Jiao
Michael I. Jordan
Song Mei
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Thinking LLMs: General Instruction Following with Thought Generation
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2024
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Tianhao Wu
Janice Lan
Weizhe Yuan
Jiantao Jiao
Jason Weston
Sainbayar Sukhbaatar
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EmbedLLM: Learning Compact Representations of Large Language Models
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2024
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Richard Zhuang
Tianhao Wu
Zhaojin Wen
Andrew C. Li
Jiantao Jiao
Kannan Ramchandran
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Meta-Rewarding Language Models: Self-Improving Alignment with
LLM-as-a-Meta-Judge
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2024
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Tianhao Wu
Weizhe Yuan
Olga Golovneva
Jing Xu
Yuandong Tian
Jiantao Jiao
Jason Weston
Sainbayar Sukhbaatar
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Universal evaluation and design of imaging systems using information
estimation
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2024
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Henry Pinkard
Leyla Kabuli
Eric Markley
Tiffany Chien
Jiantao Jiao
Laura Waller
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Toxicity Detection for Free
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2024
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Zhikang Hu
Julien Piet
Zhao Geng
Jiantao Jiao
David Wagner
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Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
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2024
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Jinning Li
Xinyi Liu
Banghua Zhu
Jiantao Jiao
Masayoshi Tomizuka
Chen Tang
Wei Zhan
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Towards a Theoretical Understanding of the 'Reversal Curse' via Training
Dynamics
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2024
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Hanlin Zhu
Baihe Huang
S. Zhang
Michael Jordan
Jiantao Jiao
Yuandong Tian
Stuart Russell
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Toward a Theory of Tokenization in LLMs
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2024
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Nived Rajaraman
Jiantao Jiao
Kannan Ramchandran
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Generative AI Security: Challenges and Countermeasures
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2024
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Banghua Zhu
Norman Mu
Jiantao Jiao
David Wagner
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Iterative Data Smoothing: Mitigating Reward Overfitting and
Overoptimization in RLHF
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2024
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Banghua Zhu
Michael I. Jordan
Jiantao Jiao
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The Sample Complexity of Online Contract Design
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2023
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Banghua Zhu
Stephen Bates
Zhuoran Yang
Zhaoran Wang
Jiantao Jiao
Michael I. Jordan
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Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
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2023
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Jinhyun So
Ramy E. Ali
Başak Güler
Jiantao Jiao
A. Salman Avestimehr
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On the Optimal Bounds for Noisy Computing
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2023
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Banghua Zhu
Ziao Wang
Nadim Ghaddar
Jiantao Jiao
Lele Wang
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Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons
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2023
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Banghua Zhu
Jiantao Jiao
Michael I. Jordan
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Online Learning in Stackelberg Games with an Omniscient Follower
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2023
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Geng Zhao
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
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Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
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2023
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Hanlin Zhu
Paria Rashidinejad
Jiantao Jiao
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Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
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2023
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Nived Rajaraman
Yanjun Han
Jiantao Jiao
Kannan Ramchandran
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Online Learning in a Creator Economy
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2023
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Banghua Zhu
Sai Praneeth Karimireddy
Jiantao Jiao
Michael I. Jordan
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Doubly Robust Self-Training
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2023
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Banghua Zhu
Mingyu Ding
Philip Jacobson
Ming Wu
Wei Zhan
Michael I. Jordan
Jiantao Jiao
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On Optimal Caching and Model Multiplexing for Large Model Inference
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2023
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Banghua Zhu
Ying Sheng
Lianmin Zheng
Clark Barrett
Michael I. Jordan
Jiantao Jiao
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Fine-Tuning Language Models with Advantage-Induced Policy Alignment
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2023
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Banghua Zhu
Hiteshi Sharma
Felipe Vieira Frujeri
Shi Dong
Chenguang Zhu
Michael I. Jordan
Jiantao Jiao
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On the Optimal Bounds for Noisy Computing
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2023
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Banghua Zhu
Ziao Wang
Nadim Ghaddar
Jiantao Jiao
Lele Wang
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Noisy Computing of the $\mathsf{OR}$ and $\mathsf{MAX}$ Functions
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2023
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Banghua Zhu
Ziao Wang
Nadim Ghaddar
Jiantao Jiao
Lele Wang
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Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
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2023
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Jinning Li
Xinyi Liu
Banghua Zhu
Jiantao Jiao
Masayoshi Tomizuka
Chen Tang
Wei Zhan
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Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment
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2023
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Tianhao Wu
Banghua Zhu
Ruoyu Zhang
Zhaojin Wen
Kannan Ramchandran
Jiantao Jiao
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End-to-end Story Plot Generator
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2023
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Hanlin Zhu
Andrew J. Cohen
Danqing Wang
Kevin Yang
Xiaomeng Yang
Jiantao Jiao
Yuandong Tian
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Towards Optimal Statistical Watermarking
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2023
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Baihe Huang
Banghua Zhu
Hanlin Zhu
Jason D. Lee
Jiantao Jiao
Michael I. Jordan
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Generalized resilience and robust statistics
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2022
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Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
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Robust Estimation for Non-parametric Families via Generative Adversarial Networks
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2022
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Banghua Zhu
Jiantao Jiao
Michael I. Jordan
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Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
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2022
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Paria Rashidinejad
Banghua Zhu
Cong Ma
Jiantao Jiao
Stuart Russell
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Minimax Off-Policy Evaluation for Multi-Armed Bandits
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2022
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Cong Ma
Banghua Zhu
Jiantao Jiao
Martin J. Wainwright
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Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
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2022
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Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
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Robust Estimation for Nonparametric Families via Generative Adversarial Networks
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2022
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Banghua Zhu
Jiantao Jiao
Michael I. Jordan
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Jump-Start Reinforcement Learning
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2022
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Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
Joséphine Simon
Matthew Bennice
Chuyuan Fu
Cong Ma
Jiantao Jiao
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Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
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2022
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Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
Dawn Song
Michael I. Jordan
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Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
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2022
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Paria Rashidinejad
Hanlin Zhu
Kunhe Yang
Stuart Russell
Jiantao Jiao
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Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits
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2022
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Yifei Wang
Tavor Z. Baharav
Yanjun Han
Jiantao Jiao
David Tse
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The Sample Complexity of Online Contract Design
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2022
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Banghua Zhu
Stephen Bates
Zhuoran Yang
Zhaoran Wang
Jiantao Jiao
Michael I. Jordan
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Minimax Optimal Online Imitation Learning via Replay Estimation
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2022
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Gokul Swamy
Nived Rajaraman
Matthew Jian‐Qiao Peng
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
Jiantao Jiao
Kannan Ramchandran
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Computational Benefits of Intermediate Rewards for Hierarchical Planning.
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2021
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Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
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Robust estimation via generalized quasi-gradients
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2021
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Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
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MADE: Exploration via Maximizing Deviation from Explored Regions
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2021
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Tianjun Zhang
Paria Rashidinejad
Jiantao Jiao
Yuandong Tian
Joseph E. Gonzalez
Stuart Russell
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Linear Representation Meta-Reinforcement Learning for Instant Adaptation
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2021
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Matt Peng
Banghua Zhu
Jiantao Jiao
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Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
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2021
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Nived Rajaraman
Yanjun Han
Lin F. Yang
Kannan Ramchandran
Jiantao Jiao
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Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
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2021
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Jinhyun So
Ramy E. Ali
Başak Güler
Jiantao Jiao
Salman Avestimehr
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MADE: Exploration via Maximizing Deviation from Explored Regions
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2021
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Tianjun Zhang
Paria Rashidinejad
Jiantao Jiao
Yuandong Tian
Joseph E. Gonzalez
Stuart Russell
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Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
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2021
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Tianhao Wu
Yunchang Yang
Han Zhong
Liwei Wang
Simon S. Du
Jiantao Jiao
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Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
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2021
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Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
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+
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Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
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2021
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Paria Rashidinejad
Banghua Zhu
Cong Ma
Jiantao Jiao
Stuart Russell
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+
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Minimax Off-Policy Evaluation for Multi-Armed Bandits
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2021
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Cong Ma
Banghua Zhu
Jiantao Jiao
Martin J. Wainwright
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+
PDF
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Optimal rates of entropy estimation over Lipschitz balls
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2020
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
Yihong Wu
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+
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Minimax Estimation of Divergences Between Discrete Distributions
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2020
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
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2020
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Paria Rashidinejad
Jiantao Jiao
Stuart Russell
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On estimation of $$L_{r}$$-norms in Gaussian white noise models
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2020
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Yanjun Han
Jiantao Jiao
Rajarshi Mukherjee
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PDF
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When does the Tukey Median work?
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2020
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Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
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+
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Deconstructing Generative Adversarial Networks
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2020
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Banghua Zhu
Jiantao Jiao
David Tse
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PDF
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Bias Correction With Jackknife, Bootstrap, and Taylor Series
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2020
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Jiantao Jiao
Yanjun Han
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+
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When does the Tukey median work?
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2020
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Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
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+
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Robust estimation via generalized quasi-gradients
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2020
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Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
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+
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Toward the Fundamental Limits of Imitation Learning
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2020
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Nived Rajaraman
Lin F. Yang
Jiantao Jiao
Ramachandran Kannan
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SLIP: Learning to predict in unknown dynamical systems with long-term memory
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2020
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Paria Rashidinejad
Jiantao Jiao
Stuart Russell
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Toward the Fundamental Limits of Imitation Learning
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2020
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Nived Rajaraman
Lin F. Yang
Jiantao Jiao
Kannan Ramchandran
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SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
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2020
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Paria Rashidinejad
Jiantao Jiao
Stuart Russell
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Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types
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2019
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Jay Mardia
Jiantao Jiao
Ervin Tánczos
Robert D. Nowak
Tsachy Weissman
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Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits
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2019
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Jiantao Jiao
Yanjun Han
Irena Fischer-Hwang
Tsachy Weissman
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Deconstructing Generative Adversarial Networks
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2019
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Banghua Zhu
Jiantao Jiao
David Tse
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Theoretically Principled Trade-off between Robustness and Accuracy
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2019
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Hongyang Zhang
Yaodong Yu
Jiantao Jiao
Eric P. Xing
Laurent El Ghaoui
Michael I. Jordan
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Generalized Resilience and Robust Statistics
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2019
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Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
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Barracuda: The Power of $\ell$-polling in Proof-of-Stake Blockchains
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2019
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Giulia Fanti
Jiantao Jiao
Ashok Vardhan Makkuva
Sewoong Oh
Ranvir Rana
Pramod Viswanath
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Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance
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2018
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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Minimax Estimation of the <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math> </inline-formula> Distance
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2018
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Jiantao Jiao
Yanjun Han
Tsachy Weissman
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PDF
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Minimax Redundancy for Markov Chains with Large State Space
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2018
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Kedar Tatwawadi
Jiantao Jiao
Tsachy Weissman
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+
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Minimax redundancy for Markov chains with large state space.
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2018
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Kedar Tatwawadi
Jiantao Jiao
Tsachy Weissman
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+
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Mutual Information, Relative Entropy and Estimation Error in Semi-Martingale Channels
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2018
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Jiantao Jiao
Kartik Venkat
Tsachy Weissman
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Entropy Rate Estimation for Markov Chains with Large State Space.
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2018
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Yanjun Han
Jiantao Jiao
Chuan-Zheng Lee
Tsachy Weissman
Yihong Wu
Tiancheng Yu
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PDF
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Generalizations of maximal inequalities to arbitrary selection rules
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2018
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Jiantao Jiao
Yanjun Han
Tsachy Weissman
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+
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Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance
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2018
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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+
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Concentration Inequalities for the Empirical Distribution
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2018
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Jay Mardia
Jiantao Jiao
Ervin Tánczos
Robert D. Nowak
Tsachy Weissman
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Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures
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2018
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Hongyang Zhang
Susu Xu
Jiantao Jiao
Pengtao Xie
Ruslan Salakhutdinov
Eric P. Xing
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Entropy Rate Estimation for Markov Chains with Large State Space
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2018
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Yanjun Han
Jiantao Jiao
Chuan-Zheng Lee
Tsachy Weissman
Yihong Wu
Tiancheng Yu
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The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
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2018
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Jiantao Jiao
Weihao Gao
Yanjun Han
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Minimax redundancy for Markov chains with large state space
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2018
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Kedar Tatwawadi
Jiantao Jiao
Tsachy Weissman
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PDF
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Maximum Likelihood Estimation of Functionals of Discrete Distributions
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2017
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Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
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PDF
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Dependence measures bounding the exploration bias for general measurements
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2017
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Jiantao Jiao
Yanjun Han
Tsachy Weissman
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+
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Relations Between Information and Estimation in Discrete-Time Lévy Channels
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2017
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Jiantao Jiao
Kartik Venkat
Tsachy Weissman
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Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits
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2017
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Jiantao Jiao
Yanjun Han
Irena Fischer-Hwang
Tsachy Weissman
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+
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Generalizations of Maximal Inequalities to Arbitrary Selection Rules
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2017
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Jiantao Jiao
Yanjun Han
Tsachy Weissman
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+
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Bias Correction with Jackknife, Bootstrap, and Taylor Series
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2017
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Jiantao Jiao
Yanjun Han
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+
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Optimal rates of entropy estimation over Lipschitz balls
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2017
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
Yihong Wu
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+
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The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
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2017
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Jiantao Jiao
Weihao Gao
Yanjun Han
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Approximate Profile Maximum Likelihood
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2017
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Dmitri S. Pavlichin
Jiantao Jiao
Tsachy Weissman
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+
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Mutual Information, Relative Entropy and Estimation Error in Semi-martingale Channels
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2017
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Jiantao Jiao
Kartik Venkat
Tsachy Weissman
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PDF
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Mutual information, relative entropy and estimation error in semi-martingale channels
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2016
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Jiantao Jiao
Kartik Venkat
Tsachy Weissman
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PDF
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Minimax estimation of the L<inf>1</inf> distance
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2016
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Jiantao Jiao
Yanjun Han
Tsachy Weissman
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+
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Minimax Estimation of KL Divergence between Discrete Distributions.
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2016
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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+
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Dependence Measures Bounding the Exploration Bias for General Measurements
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2016
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Jiantao Jiao
Yanjun Han
Tsachy Weissman
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Minimax Rate-optimal Estimation of KL Divergence between Discrete Distributions.
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2016
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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Demystifying ResNet
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2016
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Sihan Li
Jiantao Jiao
Yanjun Han
Tsachy Weissman
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PDF
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Minimax Estimation of Discrete Distributions Under <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula> Loss
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2015
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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PDF
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Justification of Logarithmic Loss via the Benefit of Side Information
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2015
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Jiantao Jiao
Thomas A. Courtade
Kartik Venkat
Tsachy Weissman
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Minimax estimation of information measures
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2015
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Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
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PDF
Chat
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Does dirichlet prior smoothing solve the Shannon entropy estimation problem?
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2015
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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PDF
Chat
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Adaptive estimation of Shannon entropy
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2015
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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+
PDF
Chat
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Minimax Estimation of Functionals of Discrete Distributions
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2015
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Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
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PDF
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Does Dirichlet Prior Smoothing Solve the Shannon Entropy Estimation Problem
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2015
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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+
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Adaptive Estimation of Shannon Entropy
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2015
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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PDF
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Information Measures: The Curious Case of the Binary Alphabet
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2014
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Jiantao Jiao
Thomas A. Courtade
Albert No
Kartik Venkat
Tsachy Weissman
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PDF
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An extremal inequality for long Markov chains
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2014
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Thomas A. Courtade
Jiantao Jiao
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+
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Non-asymptotic Theory for the Plug-in Rule in Functional Estimation
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2014
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Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
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+
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Order-Optimal Estimation of Functionals of Discrete Distributions.
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2014
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Jiantao Jiao
Kartik Venkat
Tsachy Weissman
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PDF
Chat
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Justification of logarithmic loss via the benefit of side information
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2014
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Jiantao Jiao
Thomas A. Courtade
Kartik Venkat
Tsachy Weissman
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+
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Beyond Maximum Likelihood: from Theory to Practice
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2014
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Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
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+
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Minimax Estimation of Discrete Distributions under $\ell_1$ Loss
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2014
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Yanjun Han
Jiantao Jiao
Tsachy Weissman
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+
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An Extremal Inequality for Long Markov Chains
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2014
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Thomas A. Courtade
Jiantao Jiao
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On an Extremal Data Processing Inequality for long Markov Chains
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2014
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Thomas A. Courtade
Jiantao Jiao
Tsachy Weissman
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+
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Minimax Estimation of Functionals of Discrete Distributions
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2014
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Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
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+
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Relations between Information and Estimation in Discrete-Time Lévy Channels
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2014
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Jiantao Jiao
Kartik Venkat
Tsachy Weissman
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+
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Maximum Likelihood Estimation of Functionals of Discrete Distributions
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2014
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Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
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PDF
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Universal Estimation of Directed Information
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2013
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Jiantao Jiao
Haim H. Permuter
Lei Zhao
Young-Han Kim
Tsachy Weissman
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PDF
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Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities
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2012
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Jiantao Jiao
Lin Zhang
Robert D. Nowak
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Bioequivalence assessment of metformin hydrochloride using a limited sampling strategy
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2011
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Lu Chen
Jiantao Jiao
C L Zhang
Jinfeng Lou
C X Liu
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