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2020 – today
- 2024
[c48]Ishaq Aden-Ali, Yanjun Han, Jelani Nelson, Huacheng Yu:
On the Amortized Complexity of Approximate Counting. APPROX/RANDOM 2024: 33:1-33:17- [c47]Yanjun Han, Tianze Jiang, Yihong Wu:
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes. COLT 2024: 2270-2307 - [c46]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: 1-3 - [i48]Yuxiao Wen, Yanjun Han, Zhengyuan Zhou:
Stochastic contextual bandits with graph feedback: from independence number to MAS number. CoRR abs/2402.18591 (2024) - [i47]Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin:
Online Estimation via Offline Estimation: An Information-Theoretic Framework. CoRR abs/2404.10122 (2024) - [i46]Yanjun Han, Tianze Jiang, Yihong Wu:
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes. CoRR abs/2404.15454 (2024) - [i45]Yanjun Han, Jonathan Niles-Weed:
Approximate independence of permutation mixtures. CoRR abs/2408.09341 (2024) - [i44]Fan Chen, Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu:
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability. CoRR abs/2410.05117 (2024) - 2023
- [j15]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) - [j14]Yanjun Han
, Soham Jana, Yihong Wu:
Optimal Prediction of Markov Chains With and Without Spectral Gap. IEEE Trans. Inf. Theory 69(6): 3920-3959 (2023) - [c45]Dylan J. Foster, Noah Golowich, Yanjun Han:
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient. COLT 2023: 3969-4043 - [c44]Patrik R. Gerber, Yanjun Han, Yury Polyanskiy:
Minimax optimal testing by classification. COLT 2023: 5395-5432 - [c43]Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han:
Learning and Collusion in Multi-unit Auctions. NeurIPS 2023 - [c42]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: 1-3 - [i43]Dylan J. Foster, Noah Golowich, Yanjun Han:
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient. CoRR abs/2301.08215 (2023) - [i42]Nived Rajaraman, Yanjun Han, Jiantao Jiao, Kannan Ramchandran:
Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits. CoRR abs/2302.06025 (2023) - [i41]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 abs/2303.17108 (2023) - [i40]Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han:
Online Learning in Multi-unit Auctions. CoRR abs/2305.17402 (2023) - [i39]Patrik Róbert Gerber, Yanjun Han, Yury Polyanskiy:
Minimax optimal testing by classification. CoRR abs/2306.11085 (2023) - [i38]Yanjun Han, Philippe Rigollet, George Stepaniants:
Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein. CoRR abs/2311.13595 (2023) - 2022
- [c41]Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang:
Oracle-Efficient Online Learning for Smoothed Adversaries. NeurIPS 2022 - [c40]Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse:
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits. NeurIPS 2022 - [c39]Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman:
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. NeurIPS 2022 - [c38]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: 1-3 - [c37]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: 1-3 - [i37]Brian Axelrod, Shivam Garg, Yanjun Han, Vatsal Sharan, Gregory Valiant:
On the Statistical Complexity of Sample Amplification. CoRR abs/2201.04315 (2022) - [i36]Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang:
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries. CoRR abs/2202.08549 (2022) - [i35]Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse:
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. CoRR abs/2211.01743 (2022) - [i34]Ishaq Aden-Ali, Yanjun Han, Jelani Nelson, Huacheng Yu:
On the amortized complexity of approximate counting. CoRR abs/2211.03917 (2022) - [i33]Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman:
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. CoRR abs/2211.06358 (2022) - 2021
- [j13]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): 7723-7739 (2021) - [j12]Yanjun Han, Ayfer Özgür, Tsachy Weissman:
Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints. IEEE Trans. Inf. Theory 67(12): 8248-8263 (2021) - [c36]Yanjun Han:
On the High Accuracy Limitation of Adaptive Property Estimation. AISTATS 2021: 910-918 - [c35]Yanjun Han, Yining Wang, Xi Chen:
Adversarial Combinatorial Bandits with General Non-linear Reward Functions. ICML 2021: 4030-4039 - [c34]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: 1931-1936 - [c33]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: 3928-3936 - [c32]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: 1325-1336 - [c31]Yanjun Han, Soham Jana, Yihong Wu:
Optimal prediction of Markov chains with and without spectral gap. NeurIPS 2021: 11233-11246 - [c30]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: 1-3 - [c29]Yanjun Han, Kirankumar Shiragur:
On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood. SODA 2021: 1317-1336 - [i32]Xi Chen, Yanjun Han, Yining Wang:
Adversarial Combinatorial Bandits with General Non-linear Reward Functions. CoRR abs/2101.01301 (2021) - [i31]Nived Rajaraman, Yanjun Han, Lin F. Yang, Kannan Ramchandran, Jiantao Jiao:
Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally. CoRR abs/2102.12948 (2021) - 2020
- [j11]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax Estimation of Divergences Between Discrete Distributions. IEEE J. Sel. Areas Inf. Theory 1(3): 814-823 (2020) - [j10]Jiantao Jiao, Yanjun Han:
Bias Correction With Jackknife, Bootstrap, and Taylor Series. IEEE Trans. Inf. Theory 66(7): 4392-4418 (2020) - [c28]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: 3-40 - [c27]Yanjun Han:
Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation. ISIT 2020: 2199-2204 - [c26]Zijun Gao, Yanjun Han:
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects. NeurIPS 2020 - [i30]Yanjun Han:
Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation. CoRR abs/2001.06085 (2020) - [i29]Yanjun Han, Zhengyuan Zhou, Tsachy Weissman:
Optimal No-regret Learning in Repeated First-price Auctions. CoRR abs/2003.09795 (2020) - [i28]Yanjun Han, Kirankumar Shiragur:
The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions. CoRR abs/2004.03166 (2020) - [i27]Yanjun Han, Zhengqing Zhou, Zhengyuan Zhou, Jose H. Blanchet, Peter W. Glynn, Yinyu Ye:
Sequential Batch Learning in Finite-Action Linear Contextual Bandits. CoRR abs/2004.06321 (2020) - [i26]Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman:
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. CoRR abs/2007.04568 (2020) - [i25]Yanjun Han:
On the High Accuracy Limitation of Adaptive Property Estimation. CoRR abs/2008.11964 (2020)
2010 – 2019
- 2019
- [j9]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): 6704-6715 (2019) - [c25]Leighton Pate Barnes, Yanjun Han, Ayfer Özgür:
Fisher Information for Distributed Estimation under a Blackboard Communication Protocol. ISIT 2019: 2704-2708 - [c24]Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou:
Batched Multi-armed Bandits Problem. NeurIPS 2019: 501-511 - [i24]Leighton Pate Barnes, Yanjun Han, Ayfer Özgür:
Learning Distributions from their Samples under Communication Constraints. CoRR abs/1902.02890 (2019) - [i23]Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou:
Batched Multi-armed Bandits Problem. CoRR abs/1904.01763 (2019) - [i22]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 abs/1904.03271 (2019) - [i21]Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi:
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. CoRR abs/1907.08743 (2019) - [i20]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. TR19 (2019) - 2018
- [j8]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Minimax Estimation of the L1 Distance. IEEE Trans. Inf. Theory 64(10): 6672-6706 (2018) - [c23]Leighton Pate Barnes, Yanjun Han, Ayfer Özgür:
A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation. Allerton 2018: 16-23 - [c22]Yanjun Han, Ayfer Özgür, Tsachy Weissman:
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. COLT 2018: 3163-3188 - [c21]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. COLT 2018: 3189-3221 - [c20]Yanjun Han, Pritam Mukherjee, Ayfer Özgür, Tsachy Weissman:
Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions. ISIT 2018: 506-510 - [c19]Jiantao Jiao, Weihao Gao, Yanjun Han:
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. NeurIPS 2018: 3160-3171 - [c18]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: 9803-9814 - [i19]Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu:
Entropy Rate Estimation for Markov Chains with Large State Space. CoRR abs/1802.07889 (2018) - [i18]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. CoRR abs/1802.08405 (2018) - [i17]Yanjun Han, Ayfer Özgür, Tsachy Weissman:
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. CoRR abs/1802.08417 (2018) - [i16]Yanjun Han, Guanyang Wang:
Expectation of the Largest Betting Size in Labouchère System. CoRR abs/1807.11729 (2018) - 2017
- [j7]Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman:
Maximum Likelihood Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory 63(10): 6774-6798 (2017) - [c17]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Dependence measures bounding the exploration bias for general measurements. ISIT 2017: 1475-1479 - [i15]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Minimax Estimation of the $L_1$ Distance. CoRR abs/1705.00807 (2017) - [i14]Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman:
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits. CoRR abs/1707.01203 (2017) - [i13]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Bias Correction with Jackknife, Bootstrap, and Taylor Series. CoRR abs/1709.06183 (2017) - [i12]Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, Tsachy Weissman:
On Estimation of L{r}-Norms in Gaussian White Noise Models. CoRR abs/1710.03863 (2017) - [i11]Yanjun Han, Jiantao Jiao, Tsachy Weissman, Yihong Wu:
Optimal rates of entropy estimation over Lipschitz balls. CoRR abs/1711.02141 (2017) - [i10]Jiantao Jiao, Weihao Gao, Yanjun Han:
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. CoRR abs/1711.08824 (2017) - 2016
- [j6]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): 1054-1075 (2016) - [j5]Yanjun Han, Or Ordentlich, Ofer Shayevitz:
Mutual Information Bounds via Adjacency Events. IEEE Trans. Inf. Theory 62(11): 6068-6080 (2016) - [c16]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets. ACSSC 2016: 321-325 - [c15]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Minimax estimation of the L1 distance. ISIT 2016: 750-754 - [c14]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax rate-optimal estimation of KL divergence between discrete distributions. ISITA 2016: 256-260 - [i9]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax Estimation of KL Divergence between Discrete Distributions. CoRR abs/1605.09124 (2016) - [i8]Sihan Li, Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Demystifying ResNet. CoRR abs/1611.01186 (2016) - [i7]Jiantao Jiao, Yanjun Han, Tsachy Weissman:
Dependence Measures Bounding the Exploration Bias for General Measurements. CoRR abs/1612.05845 (2016) - 2015
- [j4]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): 1925-1934 (2015) - [j3]Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman:
Minimax Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory 61(5): 2835-2885 (2015) - [j2]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax Estimation of Discrete Distributions Under ℓ1 Loss. IEEE Trans. Inf. Theory 61(11): 6343-6354 (2015) - [c13]Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman:
Maximum Likelihood Estimation of information measures. ISIT 2015: 839-843 - [c12]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Does dirichlet prior smoothing solve the Shannon entropy estimation problem? ISIT 2015: 1367-1371 - [c11]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Adaptive estimation of Shannon entropy. ISIT 2015: 1372-1376 - [c10]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax estimation of discrete distributions. ISIT 2015: 2291-2295 - [c9]Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman:
Minimax estimation of information measures. ISIT 2015: 2296-2300 - [i6]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Adaptive Estimation of Shannon Entropy. CoRR abs/1502.00326 (2015) - [i5]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Does Dirichlet Prior Smoothing Solve the Shannon Entropy Estimation Problem? CoRR abs/1502.00327 (2015) - [i4]Jiayi Zhang, Linglong Dai, Yanjun Han, Yu Zhang, Zhaocheng Wang:
On the Ergodic Capacity of MIMO Free-Space Optical Systems over Turbulence Channels. CoRR abs/1505.00953 (2015) - 2014
- [c8]Zhenkai Fan, Zhaohua Lu, Yanjun Han:
Accurate channel estimation based on Bayesian Compressive Sensing for next-generation wireless broadcasting systems. BMSB 2014: 1-5 - [c7]Xinyu Gao, Zhaohua Lu, Yanjun Han, Jiaqi Ning:
Near-optimal signal detection with low complexity based on Gauss-Seidel method for uplink large-scale MIMO systems. BMSB 2014: 1-4 - [c6]Yanjun Han, Peiyao Zhao, Lingzhi Sui, Zhenkai Fan:
Time-varying channel estimation based on dynamic compressive sensing for OFDM systems. BMSB 2014: 1-5 - [c5]Yanjun Han, Huadong Meng, Yuan Shen, Yimin Liu:
Fundamental localization accuracy in narrowband array-based systems. ICASSP 2014: 4668-4672 - [i3]Yanjun Han, Huadong Meng, Yuan Shen, Xiao-Ping Zhang:
Performance Limits and Geometric Properties of Narrowband Array Localization. CoRR abs/1405.4372 (2014) - [i2]Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman:
Beyond Maximum Likelihood: from Theory to Practice. CoRR abs/1409.7458 (2014) - [i1]Yanjun Han, Jiantao Jiao, Tsachy Weissman:
Minimax Estimation of Discrete Distributions under ℓ1 Loss. CoRR abs/1411.1467 (2014) - 2012
- [j1]Chunjie Zhang, Jing Liu, Qi Tian, Yanjun Han, Hanqing Lu, Songde Ma:
A Boosting, Sparsity- Constrained Bilinear Model for Object Recognition. IEEE Multim. 19(2): 58-68 (2012) - 2011
- [c4]Liang Chang, Mingquan Zhou, Xiaoming Deng, Zhongke Wu, Yanjun Han:
Face Sketch Synthesis via Multivariate Output Regression. HCI (1) 2011: 555-561 - 2010
- [c3]Liang Chang, Mingquan Zhou, Yanjun Han, Xiaoming Deng:
Face Sketch Synthesis via Sparse Representation. ICPR 2010: 2146-2149 - [c2]Yanjun Han, Qing Tao, Jue Wang:
Avoiding False Positive in Multi-Instance Learning. NIPS 2010: 811-819
2000 – 2009
- 2009
- [c1]Yanjun Han, Jue Wang:
An l1 Regularization Framework for Optimal Rule Combination. ECML/PKDD (1) 2009: 501-516
Coauthor Index
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