Publications

Preprints

Journal Papers

Conference Papers

  • 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 Ramachandran, 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 ell-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 L_1 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