Jiantao Jiao - RankMe

162 papers A* 31A 1B 18C 1Misc 2Journal 108Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost. CoRR Junkeun Yi, Damon Mosk-Aoyama, Baihe Huang, Ritu Gala, Charles Wang, Sugam Dipak Devare, Khushi Bhardwaj, Abhibha Gupta, Oleksii Kuchaiev, Jiantao Jiao, Jian Zhang, Venkat Srinivasan
2026	J	`jnl`	Towards Anytime-Valid Statistical Watermarking. CoRR Baihe Huang, Eric Xu, Kannan Ramchandran, Jiantao Jiao, Michael I. Jordan
2025	A*	`conf`	EmbedLLM: Learning Compact Representations of Large Language Models. ICLR Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran
2025	J	`jnl`	Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought. CoRR Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart Russell, Yuandong Tian
2025	J	`jnl`	From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models. CoRR Hengyu Fu, Baihe Huang, Virginia Adams, Charles Wang, Venkat Srinivasan, Jiantao Jiao
2025	J	`jnl`	GSM-Agent: Understanding Agentic Reasoning Using Controllable Environments. CoRR Hanlin Zhu, Tianyu Guo, Song Mei, Stuart Russell, Nikhil Ghosh, Alberto Bietti, Jiantao Jiao
2025	J	`jnl`	Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers. CoRR Yixiao Huang, Hanlin Zhu, Tianyu Guo, Jiantao Jiao, Somayeh Sojoudi, Michael I. Jordan, Stuart Russell, Song Mei
2025	J	`jnl`	How Do LLMs Perform Two-Hop Reasoning in Context? CoRR Tianyu Guo, Hanlin Zhu, Ruiqi Zhang, Jiantao Jiao, Song Mei, Michael I. Jordan, Stuart Russell
2025	A*	`conf`	How to Evaluate Reward Models for RLHF. ICLR Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2025	A*	`conf`	Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. EMNLP Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason E. Weston, Sainbayar Sukhbaatar
2025	J	`jnl`	Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought. CoRR Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart Russell, Yuandong Tian
2025	J	`jnl`	Sample Complexity and Representation Ability of Test-time Scaling Paradigms. CoRR Baihe Huang, Shanda Li, Tianhao Wu, Yiming Yang, Ameet Talwalkar, Kannan Ramchandran, Michael I. Jordan, Jiantao Jiao
2025	A*	`conf`	Thinking LLMs: General Instruction Following with Thought Generation. ICML Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason E. Weston, Sainbayar Sukhbaatar
2025	A*	`conf`	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. ICML DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng
2025	J	`jnl`	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. CoRR DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng
2025	J	`jnl`	dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning. CoRR Shirui Chen, Jiantao Jiao, Lillian J. Ratliff, Banghua Zhu
2024	J	`jnl`	Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs. CoRR Tianyu Guo, Druv Pai, Yu Bai, Jiantao Jiao, Michael I. Jordan, Song Mei
2024	A*	`conf`	An Analysis of Tokenization: Transformers under Markov Data. NeurIPS Nived Rajaraman, Jiantao Jiao, Kannan Ramchandran
2024	J	`jnl`	Efficient Prompt Caching via Embedding Similarity. CoRR Hanlin Zhu, Banghua Zhu, Jiantao Jiao
2024	J	`jnl`	EmbedLLM: Learning Compact Representations of Large Language Models. CoRR Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran
2024	J	`jnl`	Generative AI Security: Challenges and Countermeasures. CoRR Banghua Zhu, Norman Mu, Jiantao Jiao, David A. Wagner
2024	A*	`conf`	Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. ICRA Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan
2024	J	`jnl`	How to Evaluate Reward Models for RLHF. CoRR Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios N. Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2024	A*	`conf`	Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF. ICML Banghua Zhu, Michael I. Jordan, Jiantao Jiao
2024	J	`jnl`	Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF. CoRR Banghua Zhu, Michael I. Jordan, Jiantao Jiao
2024	J	`jnl`	Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. CoRR Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar
2024	J	`jnl`	Noisy Computing of the OR and MAX Functions. IEEE J. Sel. Areas Inf. Theory Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
2024	J	`jnl`	Thinking LLMs: General Instruction Following with Thought Generation. CoRR Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar
2024	J	`jnl`	Toward a Theory of Tokenization in LLMs. CoRR Nived Rajaraman, Jiantao Jiao, Kannan Ramchandran
2024	A*	`conf`	Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics. NeurIPS Hanlin Zhu, Baihe Huang, Shaolun Zhang, Michael I. Jordan, Jiantao Jiao, Yuandong Tian, Stuart J. Russell
2024	J	`jnl`	Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics. CoRR Hanlin Zhu, Baihe Huang, Shaolun Zhang, Michael I. Jordan, Jiantao Jiao, Yuandong Tian, Stuart Russell
2024	A*	`conf`	Toxicity Detection for Free. NeurIPS Zhanhao Hu, Julien Piet, Geng Zhao, Jiantao Jiao, David A. Wagner
2024	J	`jnl`	Toxicity Detection for Free. CoRR Zhanhao Hu, Julien Piet, Geng Zhao, Jiantao Jiao, David A. Wagner
2024	J	`jnl`	Universal evaluation and design of imaging systems using information estimation. CoRR Henry Pinkard, Leyla A. Kabuli, Eric Markley, Tiffany Chien, Jiantao Jiao, Laura Waller
2023	J	`jnl`	Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits. CoRR Nived Rajaraman, Yanjun Han, Jiantao Jiao, Kannan Ramchandran
2023	A	`conf`	Byzantine-Robust Federated Learning with Optimal Statistical Rates. AISTATS Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
2023	J	`jnl`	Doubly Robust Self-Training. CoRR Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao
2023	A*	`conf`	Doubly-Robust Self-Training. NeurIPS Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	End-to-end Story Plot Generator. CoRR Hanlin Zhu, Andrew Cohen, Danqing Wang, Kevin Yang, Xiaomeng Yang, Jiantao Jiao, Yuandong Tian
2023	J	`jnl`	Fine-Tuning Language Models with Advantage-Induced Policy Alignment. CoRR Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. CoRR Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan
2023	A*	`conf`	Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning. NeurIPS Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao
2023	J	`jnl`	Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning. CoRR Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao
2023	A*	`conf`	Jump-Start Reinforcement Learning. ICML Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
2023	J	`jnl`	Noisy Computing of the OR and MAX Functions. CoRR Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
2023	J	`jnl`	On Optimal Caching and Model Multiplexing for Large Model Inference. CoRR Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao
2023	B	`conf`	On the Optimal Bounds for Noisy Computing. ISIT Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
2023	J	`jnl`	On the Optimal Bounds for Noisy Computing. CoRR Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
2023	A*	`conf`	Online Learning in Stackelberg Games with an Omniscient Follower. ICML Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2023	J	`jnl`	Online Learning in Stackelberg Games with an Omniscient Follower. CoRR Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2023	J	`jnl`	Online Learning in a Creator Economy. CoRR Banghua Zhu, Sai Praneeth Karimireddy, Jiantao Jiao, Michael I. Jordan
2023	A*	`conf`	Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. ICLR Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao
2023	J	`jnl`	Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment. CoRR Tianhao Wu, Banghua Zhu, Ruoyu Zhang, Zhaojin Wen, Kannan Ramchandran, Jiantao Jiao
2023	A*	`conf`	Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons. ICML Banghua Zhu, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons. CoRR Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2023	A*	`conf`	Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. AAAI Jinhyun So, Ramy E. Ali, Basak Güler, Jiantao Jiao, Amir Salman Avestimehr
2023	A*	`conf`	The Sample Complexity of Online Contract Design. EC Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
2023	A*	`conf`	Towards Optimal Caching and Model Selection for Large Model Inference. NeurIPS Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	Towards Optimal Statistical Watermarking. CoRR Baihe Huang, Banghua Zhu, Hanlin Zhu, Jason D. Lee, Jiantao Jiao, Michael I. Jordan
2022	A*	`conf`	Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits. NeurIPS Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
2022	J	`jnl`	Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. CoRR Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
2022	J	`jnl`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. IEEE Trans. Inf. Theory Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2022	J	`jnl`	Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. CoRR Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
2022	J	`jnl`	Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. J. Artif. Intell. Res. Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
2022	J	`jnl`	Jump-Start Reinforcement Learning. CoRR Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
2022	J	`jnl`	Minimax Off-Policy Evaluation for Multi-Armed Bandits. IEEE Trans. Inf. Theory Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
2022	A*	`conf`	Minimax Optimal Online Imitation Learning via Replay Estimation. NeurIPS Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran
2022	J	`jnl`	Minimax Optimal Online Imitation Learning via Replay Estimation. CoRR Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran
2022	A*	`conf`	Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. ICML Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
2022	J	`jnl`	Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. CoRR Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao
2022	B	`conf`	Robust Estimation for Non-parametric Families via Generative Adversarial Networks. ISIT Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2022	J	`jnl`	Robust Estimation for Nonparametric Families via Generative Adversarial Networks. CoRR Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2022	J	`jnl`	The Sample Complexity of Online Contract Design. CoRR Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
2021	A*	`conf`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. NeurIPS Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2021	J	`jnl`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. CoRR Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2021	J	`jnl`	Computational Benefits of Intermediate Rewards for Hierarchical Planning. CoRR Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
2021	J	`jnl`	Linear Representation Meta-Reinforcement Learning for Instant Adaptation. CoRR Matt Peng, Banghua Zhu, Jiantao Jiao
2021	A*	`conf`	MADE: Exploration via Maximizing Deviation from Explored Regions. NeurIPS Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E. Gonzalez, Stuart Russell
2021	J	`jnl`	MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
2021	J	`jnl`	Minimax Off-Policy Evaluation for Multi-Armed Bandits. CoRR Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
2021	J	`jnl`	Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. CoRR Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
2021	A*	`conf`	On the Value of Interaction and Function Approximation in Imitation Learning. NeurIPS Nived Rajaraman, Yanjun Han, Lin Yang, Jingbo Liu, Jiantao Jiao, Kannan Ramchandran
2021	J	`jnl`	Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally. CoRR Nived Rajaraman, Yanjun Han, Lin F. Yang, Kannan Ramchandran, Jiantao Jiao
2021	J	`jnl`	Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. CoRR Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr
2021	J	`jnl`	Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. IACR Cryptol. ePrint Arch. Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr
2020	J	`jnl`	Bias Correction With Jackknife, Bootstrap, and Taylor Series. IEEE Trans. Inf. Theory Jiantao Jiao, Yanjun Han
2020	J	`jnl`	Deconstructing Generative Adversarial Networks. IEEE Trans. Inf. Theory Banghua Zhu, Jiantao Jiao, David Tse
2020	J	`jnl`	Minimax Estimation of Divergences Between Discrete Distributions. IEEE J. Sel. Areas Inf. Theory Yanjun Han, Jiantao Jiao, Tsachy Weissman
2020	J	`jnl`	Robust estimation via generalized quasi-gradients. CoRR Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
2020	J	`jnl`	SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory. CoRR Paria Rashidinejad, Jiantao Jiao, Stuart Russell
2020	A*	`conf`	SLIP: Learning to predict in unknown dynamical systems with long-term memory. NeurIPS Paria Rashidinejad, Jiantao Jiao, Stuart Russell
2020	A*	`conf`	Toward the Fundamental Limits of Imitation Learning. NeurIPS Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran
2020	J	`jnl`	Toward the Fundamental Limits of Imitation Learning. CoRR Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran
2020	B	`conf`	When does the Tukey Median work? ISIT Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
2020	J	`jnl`	When does the Tukey median work? CoRR Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
2019	J	`jnl`	Approximate Profile Maximum Likelihood. J. Mach. Learn. Res. Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman
2019	B	`conf`	Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains. MobiHoc Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath
2019	J	`jnl`	Barracuda: The Power of 𝓁-polling in Proof-of-Stake Blockchains. CoRR Giulia Fanti, Jiantao Jiao, Ashok Vardhan Makkuva, Sewoong Oh, Ranvir Rana, Pramod Viswanath
2019	J	`jnl`	Deconstructing Generative Adversarial Networks. CoRR Banghua Zhu, Jiantao Jiao, David Tse
2019	J	`jnl`	Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits. IEEE Trans. Inf. Theory Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman
2019	J	`jnl`	Generalized Resilience and Robust Statistics. CoRR Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
2019	A*	`conf`	Theoretically Principled Trade-off between Robustness and Accuracy. ICML Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan
2019	J	`jnl`	Theoretically Principled Trade-off between Robustness and Accuracy. CoRR Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan
2018	J	`jnl`	Concentration Inequalities for the Empirical Distribution. CoRR Jay Mardia, Jiantao Jiao, Ervin Tanczos, Robert D. Nowak, Tsachy Weissman
2018	A*	`conf`	Entropy Rate Estimation for Markov Chains with Large State Space. NeurIPS Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
2018	J	`jnl`	Entropy Rate Estimation for Markov Chains with Large State Space. CoRR Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
2018	A*	`conf`	Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. COLT Yanjun Han, Jiantao Jiao, Tsachy Weissman
2018	J	`jnl`	Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2018	J	`jnl`	Minimax Estimation of the L IEEE Trans. Inf. Theory Jiantao Jiao, Yanjun Han, Tsachy Weissman
2018	B	`conf`	Minimax Redundancy for Markov Chains with Large State Space. ISIT Kedar Tatwawadi, Jiantao Jiao, Tsachy Weissman
2018	J	`jnl`	Minimax redundancy for Markov chains with large state space. CoRR Kedar Shriram Tatwawadi, Jiantao Jiao, Tsachy Weissman
2018	J	`jnl`	Mutual Information, Relative Entropy and Estimation Error in Semi-Martingale Channels. IEEE Trans. Inf. Theory Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2018	J	`jnl`	Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures. CoRR Hongyang Zhang, Susu Xu, Jiantao Jiao, Pengtao Xie, Ruslan Salakhutdinov, Eric P. Xing
2018	A*	`conf`	The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. NeurIPS Jiantao Jiao, Weihao Gao, Yanjun Han
2017	J	`jnl`	Approximate Profile Maximum Likelihood. CoRR Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman
2017	J	`jnl`	Bias Correction with Jackknife, Bootstrap, and Taylor Series. CoRR Jiantao Jiao, Yanjun Han, Tsachy Weissman
2017	B	`conf`	Dependence measures bounding the exploration bias for general measurements. ISIT Jiantao Jiao, Yanjun Han, Tsachy Weissman
2017	J	`jnl`	Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits. CoRR Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman
2017	J	`jnl`	Maximum Likelihood Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2017	J	`jnl`	Minimax Estimation of the $L_1$ Distance. CoRR Jiantao Jiao, Yanjun Han, Tsachy Weissman
2017	J	`jnl`	Mutual Information, Relative Entropy and Estimation Error in Semi-martingale Channels. CoRR Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2017	J	`jnl`	On Estimation of L CoRR Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, Tsachy Weissman
2017	J	`jnl`	Optimal rates of entropy estimation over Lipschitz balls. CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman, Yihong Wu
2017	J	`jnl`	Relations Between Information and Estimation in Discrete-Time Lévy Channels. IEEE Trans. Inf. Theory Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2017	J	`jnl`	The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. CoRR Jiantao Jiao, Weihao Gao, Yanjun Han
2016	Misc	`conf`	Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets. ACSSC Jiantao Jiao, Yanjun Han, Tsachy Weissman
2016	J	`jnl`	Demystifying ResNet. CoRR Sihan Li, Jiantao Jiao, Yanjun Han, Tsachy Weissman
2016	J	`jnl`	Dependence Measures Bounding the Exploration Bias for General Measurements. CoRR Jiantao Jiao, Yanjun Han, Tsachy Weissman
2016	J	`jnl`	Minimax Estimation of KL Divergence between Discrete Distributions. CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2016	B	`conf`	Minimax estimation of the L1 distance. ISIT Jiantao Jiao, Yanjun Han, Tsachy Weissman
2016	C	`conf`	Minimax rate-optimal estimation of KL divergence between discrete distributions. ISITA Yanjun Han, Jiantao Jiao, Tsachy Weissman
2016	B	`conf`	Mutual information, relative entropy and estimation error in semi-martingale channels. ISIT Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2015	J	`jnl`	Adaptive Estimation of Shannon Entropy. CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	B	`conf`	Adaptive estimation of Shannon entropy. ISIT Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	J	`jnl`	Does Dirichlet Prior Smoothing Solve the Shannon Entropy Estimation Problem? CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	B	`conf`	Does dirichlet prior smoothing solve the Shannon entropy estimation problem? ISIT Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	J	`jnl`	Justification of Logarithmic Loss via the Benefit of Side Information. IEEE Trans. Inf. Theory Jiantao Jiao, Thomas A. Courtade, Kartik Venkat, Tsachy Weissman
2015	B	`conf`	Maximum Likelihood Estimation of information measures. ISIT Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2015	J	`jnl`	Minimax Estimation of Discrete Distributions Under ℓ IEEE Trans. Inf. Theory Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	J	`jnl`	Minimax Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2015	B	`conf`	Minimax estimation of discrete distributions. ISIT Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	B	`conf`	Minimax estimation of information measures. ISIT Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2014	J	`jnl`	An Extremal Inequality for Long Markov Chains. CoRR Thomas A. Courtade, Jiantao Jiao
2014	—	`conf`	An extremal inequality for long Markov chains. Allerton Thomas A. Courtade, Jiantao Jiao
2014	J	`jnl`	Beyond Maximum Likelihood: from Theory to Practice. CoRR Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2014	J	`jnl`	Information Measures: The Curious Case of the Binary Alphabet. IEEE Trans. Inf. Theory Jiantao Jiao, Thomas A. Courtade, Albert No, Kartik Venkat, Tsachy Weissman
2014	J	`jnl`	Information Measures: the Curious Case of the Binary Alphabet. CoRR Jiantao Jiao, Thomas A. Courtade, Albert No, Kartik Venkat, Tsachy Weissman
2014	B	`conf`	Information divergences and the curious case of the binary alphabet. ISIT Jiantao Jiao, Thomas A. Courtade, Albert No, Kartik Venkat, Tsachy Weissman
2014	J	`jnl`	Justification of Logarithmic Loss via the Benefit of Side Information. CoRR Jiantao Jiao, Thomas A. Courtade, Kartik Venkat, Tsachy Weissman
2014	B	`conf`	Justification of logarithmic loss via the benefit of side information. ISIT Jiantao Jiao, Thomas A. Courtade, Kartik Venkat, Tsachy Weissman
2014	J	`jnl`	Maximum Likelihood Estimation of Functionals of Discrete Distributions. CoRR Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2014	J	`jnl`	Minimax Estimation of Discrete Distributions under ℓ CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2014	J	`jnl`	Order-Optimal Estimation of Functionals of Discrete Distributions. CoRR Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2014	J	`jnl`	Relations between Information and Estimation in Scalar Lévy Channels. CoRR Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2014	B	`conf`	Relations between information and estimation in scalar Lévy channels. ISIT Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2013	B	`conf`	Pointwise relations between information and estimation in the Poisson channel. ISIT Jiantao Jiao, Kartik Venkat, Tsachy Weissman
2013	J	`jnl`	Universal Estimation of Directed Information. IEEE Trans. Inf. Theory Jiantao Jiao, Haim H. Permuter, Lei Zhao, Young-Han Kim, Tsachy Weissman
2012	J	`jnl`	Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities. IEEE Trans. Inf. Theory Jiantao Jiao, Lin Zhang, Robert D. Nowak
2012	J	`jnl`	Universal Estimation of Directed Information CoRR Jiantao Jiao, Haim H. Permuter, Lei Zhao, Young-Han Kim, Tsachy Weissman
2012	B	`conf`	Universal estimation of directed information via sequential probability assignments. ISIT Jiantao Jiao, Haim H. Permuter, Lei Zhao, Young-Han Kim, Tsachy Weissman
2011	J	`jnl`	Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities CoRR Jiantao Jiao, Lin Zhang, Robert D. Nowak
2010	Misc	`conf`	NOMAD: networked-observation and mobile-agent-based scene abstraction and determination. SenSys Lin Zhang, Wenzhu Zhang, Xinyu Mao, Jiantao Jiao, Shijie Zheng, Linglong Li, Yujie Liu, Teng Wang, Ming Gu