Publications

Preprints

• Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
  Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao

• The Sample Complexity of Online Contract Design
  Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I Jordan

• Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
  Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I Jordan

• Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
  Nived Rajaraman, Yanjun Han, Lin F. Yang, Kannan Ramchandran, Jiantao Jiao

Journal Papers

• Computational Benefits of Intermediate Rewards for Hierarchical Planning
  Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma, Journal of Artificial Intelligence Research

• Minimax Off-Policy Evaluation for Multi-Armed Bandits
  Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright, IEEE Transactions on Information Theory

• Generalized Resilience and Robust Statistics
  Banghua Zhu, Jiantao Jiao, Jacob Steinhardt, Annals of Statistics

• Robust Estimation via Generalized Quasi-gradients
  Banghua Zhu, Jiantao Jiao, Jacob Steinhardt, Information and Inference: A Journal of the IMA

• Minimax Estimation of Divergences between Discrete Distributions
  Yanjun Han, Jiantao Jiao, Tsachy Weissman, IEEE Journal on Selected Areas in Information Theory

• On Estimation of -norms in Gaussian White Noise Models
  Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, Probability Theory and Related Fields

• Deconstructing Generative Adversarial Networks
  Banghua Zhu, Jiantao Jiao, David Tse, IEEE Transactions on Information Theory

• Bias Correction with Jackknife, Bootstrap, and Taylor Series
  Jiantao Jiao, Yanjun Han, IEEE Transactions on Information Theory

• Optimal Rates of Entropy Estimation over Lipschitz Balls
  Yanjun Han, Jiantao Jiao, Tsachy Weissman, Yihong Wu, Annals of Statistics

• Concentration Inequalities for the Empirical Distribution of Discrete Distributions : Beyond the Method of Types
  Jay Mardia, Jiantao Jiao, Ervin Tánczos, Robert D. Nowak, Tsachy Weissman, Information and Inference: A Journal of the IMA

• Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits
  Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman, IEEE Transactions on Information Theory, vol.65, no. 10, pp 6704-6715, Oct. 2019

• Approximate Profile Maximum Likelihood
  Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman, Journal of Machine Learning Research

• Mutual Information, Relative Entropy and Estimation Error in Semi-martingale Channels
  Jiantao Jiao, Kartik Venkat, Tsachy Weissman, IEEE Transactions on Information Theory, vol.64, no. 10, pp 6662-6671, Oct. 2018

• Minimax Estimation of the Distance
  Jiantao Jiao, Yanjun Han, Tsachy Weissman, IEEE Transactions on Information Theory, vol. 64, no. 10, pp 6672-6706, Oct. 2018

• Generalizations of Maximal Inequalities to Arbitrary Selection Rules
  Jiantao Jiao, Yanjun Han, Tsachy Weissman, Statistics & Probability Letters, vol. 137, pp 19-25, 2018

• Maximum Likelihood Estimation of Functionals of Discrete Distributions
  Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman, IEEE Transactions on Information Theory, vol. 63, no. 10, pp 6774 - 6798, Oct. 2017

• Relations between Information and Estimation in Discrete-Time Lévy Channels
  Jiantao Jiao, Kartik Venkat, Tsachy Weissman, IEEE Transactions on Information Theory, vol.63, no. 6, pp 3579 - 3594, June 2017

• Minimax Estimation of Discrete Distributions under Loss
  Yanjun Han, Jiantao Jiao, Tsachy Weissman, IEEE Transactions on Information Theory, vol. 61, no. 11, pp 6343 - 6354, Nov. 2015

• Justification of Logarithmic Loss via the Benefit of Side Information
  Jiantao Jiao, Thomas Courtade, Kartik Venkat, Tsachy Weissman, IEEE Transactions on Information Theory, vol. 61, no. 10, pp 5357 - 5365, Oct. 2015

• Minimax Estimation of Functionals of Discrete Distributions
  Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman, IEEE Transactions on Information Theory, vol. 61, no. 5, pp 2835-2885, May 2015

• Information Measures: the Curious Case of the Binary Alphabet
  Jiantao Jiao, Thomas Courtade, Albert No, Kartik Venkat, Tsachy Weissman, IEEE Transactions on Information Theory, vol. 60, no. 12, pp 7616-7626, Dec. 2014

• Universal Estimation of Directed Information
  Jiantao Jiao, Haim Permuter, Lei Zhao, Young-Han Kim, Tsachy Weissman, IEEE Transactions on Information Theory, vol. 59, no. 10, pp 6220-6242, Oct. 2013

• Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities
  Jiantao Jiao, Lin Zhang, Robert Nowak, IEEE Transactions on Information Theory, vol. 58, no. 9, pp 6101-6109, Sept. 2012

Conference Papers

• Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
  Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr, AAAI 2023

• Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits
  Yifei Wang, Tavor Baharav, Yanjun Han, Jiantao Jiao, David Tse, NeurIPS 2022

• Minimax Optimal Online Imitation Learning via Replay Estimation
  Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran, NeurIPS 2022

• Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
  Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon Du, Jiantao Jiao, ICML 2022

• On the Value of Interaction and Function Approximation in Imitation Learning
  Nived Rajaraman, Yanjun Han, Lin Yang, Jingbo Liu, Jiantao Jiao, Kannan Ramchandran, NeurIPS 2021

• MADE: Exploration via Maximizing Deviation from Explored Regions
  Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell, NeurIPS 2021

• Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
  Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell, NeurIPS 2021

• SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
  Paria Rashidinejad, Jiantao Jiao, Stuart Russell, NeurIPS 2020 (Oral)

• Toward the Fundamental Limits of Imitation Learning
  Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran, NeurIPS 2020

• When does the Tukey median work?
  Banghua Zhu, Jiantao Jiao, Jacob Steinhardt, Proceedings of the IEEE International Symposium on Information Theory(ISIT), Los Angeles, USA, 2020.

• Barracuda: The Power of -polling in Proof-of-Stake Blockchains
  Giulia Fanti, Jiantao Jiao, Ashok Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath, Mobihoc, 2019, (Best Paper Award)

• Theoretically Principled Trade-off between Robustness and Accuracy
  Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan, ICML, 2019

• The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
  Jiantao Jiao, Weihao Gao, Yanjun Han, NeurIPS 2018 (Spotlight)

• Entropy Rate Estimation for Markov Chains with Large State Space
  Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu, NeurIPS 2018 (Spotlight)

• Minimax Redundancy for Markov Chains with Large State Space
  Kedar Shriram Tatwawadi, Jiantao Jiao, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory(ISIT), Vail, Colorado, USA, 2018.

• Local Moment Matching: a Unified Methodology for Symmetric Functional Estimation and Distribution Estimation under Wasserstein Distance
  Yanjun Han, Jiantao Jiao, Tsachy Weissman, COLT 2018

• Dependence Measures Bounding the Exploration Bias for General Measurements
  Jiantao Jiao, Yanjun Han, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, 2017.

• Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets
  Jiantao Jiao, Yanjun Han, Tsachy Weissman, Proceedings of the 2016 50th Asilomar Conference on Signals, Systems and Computers, Monterey, USA, 2016.

• Minimax Rate-optimal Estimation of KL Divergence between Discrete Distributions
  Yanjun Han, Jiantao Jiao, Tsachy Weissman, Proceedings of the IEICE International Symposium on Information Theory and Its Applications (ISITA) (Student Paper Award), Monterey, USA, 2016.

• Mutual information, relative entropy and estimation error in semi-martingale channels
  Jiantao Jiao, Kartik Venkat, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Barcelona, Spain, 2016.

• Minimax Estimation of the Distance
  Jiantao Jiao, Yanjun Han, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT) (Jack Keil Wolf Student Paper Award Finalist), Barcelona, Spain, 2016.

• Adaptive Estimation of Shannon Entropy
  Yanjun Han, Jiantao Jiao, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Hong Kong, China, 2015

• Does Dirichlet Prior Smoothing Solve the Shannon Entropy Estimation Problem?
  Yanjun Han, Jiantao Jiao, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Hong Kong, China, 2015

• Minimax Estimation of Discrete Distributions
  Yanjun Han, Jiantao Jiao, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Hong Kong, China, 2015

• Maximum Likelihood Estimation of Information Measures
  Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Hong Kong, China, 2015

• Minimax Estimation of Information Measures
  Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Hong Kong, China, 2015

• An Extremal Inequality for Long Markov Chains
  Thomas Courtade, Jiantao Jiao, Proceedings of the 52nd Annual Allerton Conference on Communcation, Control, and Computing, Illinois, USA, 2014.

• Information Divergences and the Curious Case of the Binary Alphabet
  Jiantao Jiao, Thomas Courtade, Albert No, Kartik Venkat, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Honolulu, USA, 2014.

• Relations between Information and Estimation in Scalar Lévy Channels
  Jiantao Jiao, Kartik Venkat, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Honolulu, USA, 2014.

• Justification of Logarithmic Loss via the Benefit of Side Information
  Jiantao Jiao, Thomas Courtade, Kartik Venkat, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Honolulu, USA, 2014.

• On an Extremal Data Processing Inequality for long Markov Chains
  Thomas Courtade, Jiantao Jiao, Tsachy Weissman, International Zurich Seminar on Communications, 2014.

• Pointwise Relations between Information and Estimation in the Poisson Channel
  Jiantao Jiao, Kartik Venkat, Tsachy Weissman, Proceedings of 2013 IEEE Interational Symposium on Information Theory (ISIT), Istanbul,Turkey, July 2013.

• Universal Estimation of Directed Information via Sequential Probability Assignments
  Jiantao Jiao, Haim Permuter, Lei Zhao, Young-Han Kim, Tsachy Weissman, Proceedings of the IEEE International Symposium on Information Theory (ISIT), Boston, USA, 2012.

• NOMAD: networked-observation and mobile-agent-based scene abstraction and determination
  Lin Zhang, Wenzhu Zhang, Xinyu Mao, Jiantao Jiao, Shijie Zheng, Linglong Li, Yujie Liu, Teng Wang, Ming Gu, Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, pp 415-416, Nov. 2010