Yanjun Han

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 96

Top Venues

CoRR

IEEE Trans. Inf. Theory

ISIT

NeurIPS

Publications

Yanjun Han, Tianze Jiang, Yihong Wu
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes. CoRR (2024)
Bing Xiong, Yuxin Tian, Changzheng Sun, Zhibiao Hao, Jian Wang, Lai Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo
Ultra-Wide Bandwidth and High Saturation Power Uni-Traveling Carrier Photodiodes. OFC (2024)
Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
Online Estimation via Offline Estimation: An Information-Theoretic Framework. CoRR (2024)
Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
Stochastic contextual bandits with graph feedback: from independence number to MAS number. CoRR (2024)
Yanjun Han, Tianze Jiang, Yihong Wu
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes. COLT (2024)
Patrik R. Gerber, Yanjun Han, Yury Polyanskiy
Minimax optimal testing by classification. COLT (2023)
Yuxin Tian, Bing Xiong, Changzheng Sun, Zhibiao Hao, Jian Wang, Lai Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo
190 GHz Bandwidth Modified Uni-Traveling Carrier Photodiodes with High Saturation Power. OFC (2023)
Yi Luo, Changzheng Sun, Bing Xiong, Jian Wang, Zhibiao Hao, Yanjun Han, Hongtao Li, Lai Wang
High-speed optoelectronic devices. Sci. China Inf. Sci. 66 (5) (2023)
Patrik Róbert Gerber, Yanjun Han, Yury Polyanskiy
Minimax optimal testing by classification. CoRR (2023)
Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han
Online Learning in Multi-unit Auctions. CoRR (2023)
Dylan J. Foster, Noah Golowich, Yanjun Han
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient. COLT (2023)
Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han
Learning and Collusion in Multi-unit Auctions. NeurIPS (2023)
Nived Rajaraman, Yanjun Han, Jiantao Jiao, Kannan Ramchandran
Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits. CoRR (2023)
Haoqiang Wang, Zihan Zang, Yunpeng Xu, Yanjun Han, Hongtao Li, Yi Luo
B-spline freeform surface tailoring for prescribed irradiance based on differentiable ray-tracing. CoRR (2023)
Dylan J. Foster, Noah Golowich, Yanjun Han
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient. CoRR (2023)
Yanjun Han, Philippe Rigollet, George Stepaniants
Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein. CoRR (2023)
Yanjun Han, Soham Jana, Yihong Wu
Optimal Prediction of Markov Chains With and Without Spectral Gap. IEEE Trans. Inf. Theory 69 (6) (2023)
Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. CoRR (2022)
Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits. NeurIPS (2022)
Xuecheng Liu, Hao Liu, Bing Xiong, Changzheng Sun, Zhibiao Hao, Lai Wang, Jian Wang, Yanjun Han, Hongtao Li, Yi Luo
A Highly Compact Thin-film Lithium Niobate Modulator with Low Half-wave Voltage. OFC (2022)
Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. CoRR (2022)
Hao Liu, Xuecheng Liu, Bing Xiong, Changzheng Sun, Zhibiao Hao, Lai Wang, Jian Wang, Yanjun Han, Hongtao Li, Yi Luo
Millimeter-scale Meandered Thin-film Lithium Niobate Modulator with 0.72-\mathrm{V}\ \mathrm{V} \pi$. OECC/PSC (2022)
Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang
Oracle-Efficient Online Learning for Smoothed Adversaries. NeurIPS (2022)
Ishaq Aden-Ali, Yanjun Han, Jelani Nelson, Huacheng Yu
On the amortized complexity of approximate counting. CoRR (2022)
Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. NeurIPS (2022)
Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries. CoRR (2022)
Brian Axelrod, Shivam Garg, Yanjun Han, Vatsal Sharan, Gregory Valiant
On the Statistical Complexity of Sample Amplification. CoRR (2022)
Yanjun Han
On the High Accuracy Limitation of Adaptive Property Estimation. AISTATS (2021)
Xuecheng Liu, Bing Xiong, Changzheng Sun, Zhibiao Hao, Lai Wang, Jian Wang, Yanjun Han, Hongtao Li, Jiadong Yu, Yi Luo
Ultra-wide Bandwidth Thin-film LiNbO3 Modulator with Record-Low Half-wave-voltage Length Product. OFC (2021)
Nived Rajaraman, Yanjun Han, Lin F. Yang, Kannan Ramchandran, Jiantao Jiao
Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally. CoRR (2021)
Xi Chen, Yanjun Han, Yining Wang
Adversarial Combinatorial Bandits with General Non-linear Reward Functions. CoRR (2021)
Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman
MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. KDD (2021)
Yanjun Han, Soham Jana, Yihong Wu
Optimal prediction of Markov chains with and without spectral gap. NeurIPS (2021)
Yanjun Han, Ayfer Özgür, Tsachy Weissman
Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints. IEEE Trans. Inf. Theory 67 (12) (2021)
Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. IEEE Trans. Inf. Theory 67 (12) (2021)
Yanjun Han, Kirankumar Shiragur
On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood. SODA (2021)
Yanjun Han, Yining Wang, Xi Chen
Adversarial Combinatorial Bandits with General Non-linear Reward Functions. ICML (2021)
Nived Rajaraman, Yanjun Han, Lin Yang, Jingbo Liu, Jiantao Jiao, Kannan Ramchandran
On the Value of Interaction and Function Approximation in Imitation Learning. NeurIPS (2021)
Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. ISIT (2021)
Yanjun Han, Zhengyuan Zhou, Tsachy Weissman
Optimal No-regret Learning in Repeated First-price Auctions. CoRR (2020)
Zijun Gao, Yanjun Han
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects. NeurIPS (2020)
Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. CoRR (2020)
Jiantao Jiao, Yanjun Han
Bias Correction With Jackknife, Bootstrap, and Taylor Series. IEEE Trans. Inf. Theory 66 (7) (2020)
Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. COLT (2020)
Yanjun Han
Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation. CoRR (2020)
Yanjun Han
On the High Accuracy Limitation of Adaptive Property Estimation. CoRR (2020)
Yanjun Han, Kirankumar Shiragur
The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions. CoRR (2020)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Minimax Estimation of Divergences Between Discrete Distributions. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Yanjun Han, Zhengqing Zhou, Zhengyuan Zhou, Jose H. Blanchet, Peter W. Glynn, Yinyu Ye
Sequential Batch Learning in Finite-Action Linear Contextual Bandits. CoRR (2020)
Yanjun Han
Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation. ISIT (2020)
Leighton Pate Barnes, Yanjun Han, Ayfer Özgür
Fisher Information for Distributed Estimation under a Blackboard Communication Protocol. ISIT (2019)
Yanjun Han, Kedar Tatwawadi, Zhengqing Zhou, Gowtham R. Kurri, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols. CoRR (2019)
Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. Electron. Colloquium Comput. Complex. 26 (2019)
Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman
Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits. IEEE Trans. Inf. Theory 65 (10) (2019)
Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. CoRR (2019)
Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou
Batched Multi-armed Bandits Problem. CoRR (2019)
Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou
Batched Multi-armed Bandits Problem. NeurIPS (2019)
Leighton Pate Barnes, Yanjun Han, Ayfer Özgür
Learning Distributions from their Samples under Communication Constraints. CoRR (2019)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Distance. IEEE Trans. Inf. Theory 64 (10) (2018)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. CoRR (2018)
Yanjun Han, Ayfer Özgür, Tsachy Weissman
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. CoRR (2018)
Yanjun Han, Guanyang Wang
Expectation of the Largest Betting Size in Labouchère System. CoRR (2018)
Yanjun Han, Pritam Mukherjee, Ayfer Özgür, Tsachy Weissman
Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions. ISIT (2018)
Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
Entropy Rate Estimation for Markov Chains with Large State Space. CoRR (2018)
Leighton Pate Barnes, Yanjun Han, Ayfer Özgür
A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation. Allerton (2018)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. COLT (2018)
Jiantao Jiao, Weihao Gao, Yanjun Han
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. NeurIPS (2018)
Yanjun Han, Ayfer Özgür, Tsachy Weissman
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. COLT (2018)
Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
Entropy Rate Estimation for Markov Chains with Large State Space. NeurIPS (2018)
Jiantao Jiao, Weihao Gao, Yanjun Han
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. CoRR (2017)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Dependence measures bounding the exploration bias for general measurements. ISIT (2017)
Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
Maximum Likelihood Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory 63 (10) (2017)
Yanjun Han, Jiantao Jiao, Tsachy Weissman, Yihong Wu
Optimal rates of entropy estimation over Lipschitz balls. CoRR (2017)
Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits. CoRR (2017)
Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, Tsachy Weissman
-Norms in Gaussian White Noise Models. CoRR (2017)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Bias Correction with Jackknife, Bootstrap, and Taylor Series. CoRR (2017)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Minimax Estimation of the $L_1$ Distance. CoRR (2017)
Yanjun Han, Or Ordentlich, Ofer Shayevitz
Mutual Information Bounds via Adjacency Events. IEEE Trans. Inf. Theory 62 (11) (2016)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets. ACSSC (2016)
Yanjun Han, Yuan Shen, Xiao-Ping Zhang, Moe Z. Win, Huadong Meng
Performance Limits and Geometric Properties of Array Localization. IEEE Trans. Inf. Theory 62 (2) (2016)
Sihan Li, Jiantao Jiao, Yanjun Han, Tsachy Weissman
Demystifying ResNet. CoRR (2016)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Dependence Measures Bounding the Exploration Bias for General Measurements. CoRR (2016)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Minimax rate-optimal estimation of KL divergence between discrete distributions. ISITA (2016)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Minimax Estimation of KL Divergence between Discrete Distributions. CoRR (2016)
Jiantao Jiao, Yanjun Han, Tsachy Weissman
Minimax estimation of the L1 distance. ISIT (2016)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Adaptive estimation of Shannon entropy. ISIT (2015)
Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
Minimax estimation of information measures. ISIT (2015)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Minimax estimation of discrete distributions. ISIT (2015)
Jiayi Zhang, Linglong Dai, Yanjun Han, Yu Zhang, Zhaocheng Wang
On the Ergodic Capacity of MIMO Free-Space Optical Systems over Turbulence Channels. CoRR (2015)
Jiayi Zhang, Linglong Dai, Yanjun Han, Yu Zhang, Zhaocheng Wang
On the Ergodic Capacity of MIMO Free-Space Optical Systems Over Turbulence Channels. IEEE J. Sel. Areas Commun. 33 (9) (2015)
Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
Minimax Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory 61 (5) (2015)
Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
Maximum Likelihood Estimation of information measures. ISIT (2015)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Adaptive Estimation of Shannon Entropy. CoRR (2015)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Loss. IEEE Trans. Inf. Theory 61 (11) (2015)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Does Dirichlet Prior Smoothing Solve the Shannon Entropy Estimation Problem? CoRR (2015)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Does dirichlet prior smoothing solve the Shannon entropy estimation problem? ISIT (2015)
Yanjun Han, Jiantao Jiao, Tsachy Weissman
Loss. CoRR (2014)
Yanjun Han, Huadong Meng, Yuan Shen, Xiao-Ping Zhang
Performance Limits and Geometric Properties of Narrowband Array Localization. CoRR (2014)
Yanjun Han, Huadong Meng, Yuan Shen, Yimin Liu
Fundamental localization accuracy in narrowband array-based systems. ICASSP (2014)
Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
Beyond Maximum Likelihood: from Theory to Practice. CoRR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yanjun Han