Puning Zhao

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All published works

Action	Title	Year	Authors
+ PDF Chat	Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets	2024	Xingrun Yan Shiyuan Zuo Rongfei Fan Han Hu Shen Li Puning Zhao Yong Luo
+ PDF Chat	Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates	2024	Puning Zhao Jiafei Wu Zhe Liu Chong Wang Rongfei Fan Qingming Li
+ PDF Chat	Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets	2024	Shiyuan Zuo Xingrun Yan Rongfei Fan Li Shen Puning Zhao Jie Xu Han Hu
+ PDF Chat	Learning with User-Level Local Differential Privacy	2024	Puning Zhao Li Shen Rongfei Fan Qingming Li Huiwen Wu Jiafei Wu Zhe Liu
+ PDF Chat	Enhancing Learning with Label Differential Privacy by Vector Approximation	2024	Puning Zhao Rongfei Fan Huiwen Wu Qingming Li Jiafei Wu Zhe Liu
+ PDF Chat	A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy	2024	Puning Zhao Lifeng Lai Li Shen Qingming Li Jiafei Wu Zhe Liu
+ PDF Chat	A Huber Loss Minimization Approach to Byzantine Robust Federated Learning	2024	Puning Zhao Fei Yu Zhiguo Wan
+ PDF Chat	Robust Nonparametric Regression under Poisoning Attack	2024	Puning Zhao Zhiguo Wan
+	Robust Nonparametric Regression under Poisoning Attack	2023	Puning Zhao Zhiguo Wan
+	High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers	2023	Puning Zhao Zhiguo Wan
+	Minimax Optimal $Q$ Learning with Nearest Neighbors	2023	Puning Zhao Lifeng Lai
+	A Huber Loss Minimization Approach to Byzantine Robust Federated Learning	2023	Puning Zhao Fei Yu Zhiguo Wan
+ PDF Chat	Analysis of KNN Density Estimation	2022	Puning Zhao Lifeng Lai
+	Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression	2021	Puning Zhao Lifeng Lai
+	Optimal Stochastic Nonconvex Optimization with Bandit Feedback	2021	Puning Zhao Lifeng Lai
+	Minimax Optimal Estimation of KL Divergence for Continuous Distributions	2020	Puning Zhao Lifeng Lai
+	Analysis of K Nearest Neighbor KL Divergence Estimation for Continuous Distributions	2020	Puning Zhao Lifeng Lai
+	Minimax Optimal Estimation of KL Divergence for Continuous Distributions	2020	Puning Zhao Lifeng Lai
+	Analysis of KNN Information Estimators for Smooth Distributions	2019	Puning Zhao Lifeng Lai
+	Minimax Regression via Adaptive Nearest Neighbor	2019	Puning Zhao Lifeng Lai
+	Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression	2019	Puning Zhao Lifeng Lai
+	Nonparametric Direct Entropy Difference Estimation	2018	Puning Zhao Lifeng Lai
+ PDF Chat	Analysis of KNN Information Estimators for Smooth Distributions	2018	Puning Zhao Lifeng Lai
+	Analysis of KNN Information Estimators for Smooth Distributions	2018	Puning Zhao Lifeng Lai

Common Coauthors

Coauthor	Papers Together
Lifeng Lai	14
Qingming Li	4
Rongfei Fan	3
Jiafei Wu	3
Rongfei Fan	2
Zhe Liu	2
Huiwen Wu	2
Shiyuan Zuo	2
Xingrun Yan	2
Zhiguo Wan	2
Zhiguo Wan	2
Li Shen	2
Chong Wang	1
Zhe Liu	1
Han Hu	1
Yong Luo	1
Zhiguo Wan	1
Jiafei Wu	1
Fei Yu	1
Zhe Liu	1
Jie Xu	1
Han Hu	1
Fei Yu	1
Shen Li	1
Li Shen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	9
+	Efficient multivariate entropy estimation via $k$-nearest neighbour distances	2018	Thomas B. Berrett Richard J. Samworth Ming Yuan	6
+	Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation	2016	Shashank Singh Barnabás Póczos	6
+	Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators	2016	Shashank Singh Barnabás Póczos	5
+	Analysis of KNN Information Estimators for Smooth Distributions	2019	Puning Zhao Lifeng Lai	5
+ PDF Chat	Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation	2016	Yihong Wu Pengkun Yang	5
+	Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation	2016	Weihao Gao Sewoong Oh Pramod Viswanath	4
+	Estimating Mutual Information by Local Gaussian Approximation	2015	Shuyang Gao Greg Ver Steeg Aram Galstyan	4
+ PDF Chat	Estimating mutual information	2004	Alexander Kraskov Harald Stögbauer Peter Grassberger	4
+	Nonparametric Estimation of Küllback-Leibler Divergence	2014	Zhiyi Zhang Michael Grabchak	3
+ PDF Chat	Minimax Estimation of Functionals of Discrete Distributions	2015	Jiantao Jiao Kartik Venkat Yanjun Han Tsachy Weissman	3
+	Rates of Convergence of the Functional $k$-Nearest Neighbor Estimate	2010	Gérard Biau Frédéric Cérou Arnaud Guyader	3
+	Practical and Consistent Estimation of f-Divergences	2019	Paul K. Rubenstein Olivier Bousquet Josip Djolonga Carlos Riquelme Ilya Tolstikhin	3
+	Two-Sample Test Statistics for Measuring Discrepancies Between Two Multivariate Probability Density Functions Using Kernel-Based Density Estimates	1994	Niall Anderson Peter A. Hall D. M. Titterington	3
+ PDF Chat	Universal outlying sequence detection for continuous observations	2016	Yuheng Bu Shaofeng Zou Yingbin Liang Venugopal V. Veeravalli	3
+ PDF Chat	Consistent Nonparametric Regression	1977	Charles J. Stone	3
+ PDF Chat	Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization	2010	XuanLong Nguyen Martin J. Wainwright Michael I. Jordan	3
+ PDF Chat	Fast learning rates for plug-in classifiers	2007	Jean-Yves Audibert Alexandre B. Tsybakov	3
+	Root-N consistent estimators of entropy for densities with unbounded support	2002	A. B. Tsybakov Edward C. van der Meulen	3
+	Nonparametric von Mises estimators for entropies, divergences and mutual informations	2015	Kirthevasan Kandasamy Akshay Krishnamurthy Barnabÿs Póczos Larry Wasserman James M. Robins	3
+	Estimation of KL Divergence: Optimal Minimax Rate	2018	Yuheng Bu Shaofeng Zou Yingbin Liang Venugopal V. Veeravalli	3
+	Nonparametric Estimation of Renyi Divergence and Friends	2014	Akshay Krishnamurthy Kirthevasan Kandasamy Barnabás Póczos Larry Wasserman	3
+	Nearest neighbor pattern classification	1967	Thomas M. Cover Peter E. Hart	3
+	Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators	2016	Shashank Kumar Singh Barnabás Póczos	3
+	Efficient Estimation of Mutual Information for Strongly Dependent Variables	2014	Shuyang Gao Greg Ver Steeg Aram Galstyan	3
+	Estimating the unseen	2011	Gregory Valiant Paul Valiant	3
+	The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal	2018	Jiantao Jiao Weihao Gao Yanjun Han	2
+ PDF Chat	Robust Estimators in High Dimensions without the Computational Intractability	2016	Ilias Diakonikolas Gautam Kamath Daniel M. Kane Jerry Li Ankur Moitra Alistair Stewart	2
+ PDF Chat	Embeddings of Sobolev spaces on unbounded domains	1977	J. A. S. Martins	2
+	Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties	1989	Evelyn Fix J. L. Hodges	2
+	Info-Clustering: A Mathematical Theory for Data Clustering	2016	Chung Chan Ali Al-Bashabsheh Qiaoqiao Zhou Tarik Kaced Tie Liu	2
+ PDF Chat	Adaptive $M$-Estimation in Nonparametric Regression	1990	Peter Hall M. C. Jones	2
+ PDF Chat	On the Kozachenko–Leonenko entropy estimator	2017	Sylvain Delattre Nicolas Fournier	2
+	Information-theoretic analysis of generalization capability of learning algorithms	2017	Aolin Xu Maxim Raginsky	2
+	Minimax Regression via Adaptive Nearest Neighbor	2019	Puning Zhao Lifeng Lai	2
+	The rate of convergence of&lt;tex&gt;k_n&lt;/tex&gt;-NN regression estimates and classification rules (Corresp.)	1981	László Györfi	2
+	The Logarithmic Mean	1972	B. C. Carlson	2
+	Information-theoretic analysis of generalization capability of learning algorithms	2017	Aolin Xu Maxim Raginsky	2
+	On the estimation of entropy	1993	Peter Hall Sally C. Morton	2
+ PDF Chat	Analysis of a Random Forests Model	2010	Gérard Biau	2
+ PDF Chat	Optimal Rates of Convergence to Bayes Risk in Nonparametric Discrimination	1983	J. S. Marron	2
+	Classification in general finite dimensional spaces with the k-nearest neighbor rule	2016	Sébastien Gadat Thierry Klein Clément Marteau	2
+	Smooth discrimination analysis	1999	Enno Mammen Alexandre B. Tsybakov	2
+	Minimax nonparametric classification .I. Rates of convergence	1999	Yuhong Yang	2
+	Theory of Approximation of Functions of a Real Variable	1963	A.F. TIMAN	2
+	High-Dimensional Probability: An Introduction with Applications in Data Science	2018	Roman Vershynin	2
+	Efficient Estimation of Mutual Information for Strongly Dependent Variables	2014	Shuyang Gao Greg Ver Steeg Aram Galstyan	2
+	Rates of Convergence for Nearest Neighbor Classification	2014	Kamalika Chaudhuri Sanjoy Dasgupta	2
+	k-NN Regression Adapts to Local Intrinsic Dimension	2011	Samory Kpotufe	2
+	On the rate of convergence of regularized boosting classifiers	2003	Gilles Blanchard Gábor Lugosi Nicolas Vayatis	2