Jiantao Jiao

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All published works
Action Title Year Authors
+ PDF Chat How to Evaluate Reward Models for RLHF 2024 Evan Frick
Tianle Li
C. J. Chen
Wei-Lin Chiang
Anastasios N. Angelopoulos
Jiantao Jiao
Banghua Zhu
Joseph E. Gonzalez
Ion Stoica
+ PDF Chat Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs 2024 Tianyu Guo
Druv Pai
Yu Bai
Jiantao Jiao
Michael I. Jordan
Song Mei
+ PDF Chat Thinking LLMs: General Instruction Following with Thought Generation 2024 Tianhao Wu
Janice Lan
Weizhe Yuan
Jiantao Jiao
Jason Weston
Sainbayar Sukhbaatar
+ PDF Chat EmbedLLM: Learning Compact Representations of Large Language Models 2024 Richard Zhuang
Tianhao Wu
Zhaojin Wen
Andrew C. Li
Jiantao Jiao
Kannan Ramchandran
+ PDF Chat Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge 2024 Tianhao Wu
Weizhe Yuan
Olga Golovneva
Jing Xu
Yuandong Tian
Jiantao Jiao
Jason Weston
Sainbayar Sukhbaatar
+ PDF Chat Universal evaluation and design of imaging systems using information estimation 2024 Henry Pinkard
Leyla Kabuli
Eric Markley
Tiffany Chien
Jiantao Jiao
Laura Waller
+ PDF Chat Toxicity Detection for Free 2024 Zhikang Hu
Julien Piet
Zhao Geng
Jiantao Jiao
David Wagner
+ PDF Chat Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration 2024 Jinning Li
Xinyi Liu
Banghua Zhu
Jiantao Jiao
Masayoshi Tomizuka
Chen Tang
Wei Zhan
+ PDF Chat Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics 2024 Hanlin Zhu
Baihe Huang
S. Zhang
Michael Jordan
Jiantao Jiao
Yuandong Tian
Stuart Russell
+ PDF Chat Toward a Theory of Tokenization in LLMs 2024 Nived Rajaraman
Jiantao Jiao
Kannan Ramchandran
+ PDF Chat Generative AI Security: Challenges and Countermeasures 2024 Banghua Zhu
Norman Mu
Jiantao Jiao
David Wagner
+ PDF Chat Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF 2024 Banghua Zhu
Michael I. Jordan
Jiantao Jiao
+ The Sample Complexity of Online Contract Design 2023 Banghua Zhu
Stephen Bates
Zhuoran Yang
Zhaoran Wang
Jiantao Jiao
Michael I. Jordan
+ Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning 2023 Jinhyun So
Ramy E. Ali
Başak Güler
Jiantao Jiao
A. Salman Avestimehr
+ PDF Chat On the Optimal Bounds for Noisy Computing 2023 Banghua Zhu
Ziao Wang
Nadim Ghaddar
Jiantao Jiao
Lele Wang
+ Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons 2023 Banghua Zhu
Jiantao Jiao
Michael I. Jordan
+ Online Learning in Stackelberg Games with an Omniscient Follower 2023 Geng Zhao
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
+ Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning 2023 Hanlin Zhu
Paria Rashidinejad
Jiantao Jiao
+ Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits 2023 Nived Rajaraman
Yanjun Han
Jiantao Jiao
Kannan Ramchandran
+ Online Learning in a Creator Economy 2023 Banghua Zhu
Sai Praneeth Karimireddy
Jiantao Jiao
Michael I. Jordan
+ Doubly Robust Self-Training 2023 Banghua Zhu
Mingyu Ding
Philip Jacobson
Ming Wu
Wei Zhan
Michael I. Jordan
Jiantao Jiao
+ On Optimal Caching and Model Multiplexing for Large Model Inference 2023 Banghua Zhu
Ying Sheng
Lianmin Zheng
Clark Barrett
Michael I. Jordan
Jiantao Jiao
+ Fine-Tuning Language Models with Advantage-Induced Policy Alignment 2023 Banghua Zhu
Hiteshi Sharma
Felipe Vieira Frujeri
Shi Dong
Chenguang Zhu
Michael I. Jordan
Jiantao Jiao
+ On the Optimal Bounds for Noisy Computing 2023 Banghua Zhu
Ziao Wang
Nadim Ghaddar
Jiantao Jiao
Lele Wang
+ Noisy Computing of the $\mathsf{OR}$ and $\mathsf{MAX}$ Functions 2023 Banghua Zhu
Ziao Wang
Nadim Ghaddar
Jiantao Jiao
Lele Wang
+ Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration 2023 Jinning Li
Xinyi Liu
Banghua Zhu
Jiantao Jiao
Masayoshi Tomizuka
Chen Tang
Wei Zhan
+ Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment 2023 Tianhao Wu
Banghua Zhu
Ruoyu Zhang
Zhaojin Wen
Kannan Ramchandran
Jiantao Jiao
+ End-to-end Story Plot Generator 2023 Hanlin Zhu
Andrew J. Cohen
Danqing Wang
Kevin Yang
Xiaomeng Yang
Jiantao Jiao
Yuandong Tian
+ Towards Optimal Statistical Watermarking 2023 Baihe Huang
Banghua Zhu
Hanlin Zhu
Jason D. Lee
Jiantao Jiao
Michael I. Jordan
+ PDF Chat Generalized resilience and robust statistics 2022 Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
+ PDF Chat Robust Estimation for Non-parametric Families via Generative Adversarial Networks 2022 Banghua Zhu
Jiantao Jiao
Michael I. Jordan
+ PDF Chat Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism 2022 Paria Rashidinejad
Banghua Zhu
Cong Ma
Jiantao Jiao
Stuart Russell
+ Minimax Off-Policy Evaluation for Multi-Armed Bandits 2022 Cong Ma
Banghua Zhu
Jiantao Jiao
Martin J. Wainwright
+ PDF Chat Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning 2022 Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
+ Robust Estimation for Nonparametric Families via Generative Adversarial Networks 2022 Banghua Zhu
Jiantao Jiao
Michael I. Jordan
+ Jump-Start Reinforcement Learning 2022 Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
Joséphine Simon
Matthew Bennice
Chuyuan Fu
Cong Ma
Jiantao Jiao
+ Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees 2022 Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
Dawn Song
Michael I. Jordan
+ Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian 2022 Paria Rashidinejad
Hanlin Zhu
Kunhe Yang
Stuart Russell
Jiantao Jiao
+ Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits 2022 Yifei Wang
Tavor Z. Baharav
Yanjun Han
Jiantao Jiao
David Tse
+ The Sample Complexity of Online Contract Design 2022 Banghua Zhu
Stephen Bates
Zhuoran Yang
Zhaoran Wang
Jiantao Jiao
Michael I. Jordan
+ Minimax Optimal Online Imitation Learning via Replay Estimation 2022 Gokul Swamy
Nived Rajaraman
Matthew Jian‐Qiao Peng
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
Jiantao Jiao
Kannan Ramchandran
+ Computational Benefits of Intermediate Rewards for Hierarchical Planning. 2021 Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
+ PDF Chat Robust estimation via generalized quasi-gradients 2021 Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
+ PDF Chat MADE: Exploration via Maximizing Deviation from Explored Regions 2021 Tianjun Zhang
Paria Rashidinejad
Jiantao Jiao
Yuandong Tian
Joseph E. Gonzalez
Stuart Russell
+ Linear Representation Meta-Reinforcement Learning for Instant Adaptation 2021 Matt Peng
Banghua Zhu
Jiantao Jiao
+ Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally 2021 Nived Rajaraman
Yanjun Han
Lin F. Yang
Kannan Ramchandran
Jiantao Jiao
+ Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning 2021 Jinhyun So
Ramy E. Ali
Başak Güler
Jiantao Jiao
Salman Avestimehr
+ MADE: Exploration via Maximizing Deviation from Explored Regions 2021 Tianjun Zhang
Paria Rashidinejad
Jiantao Jiao
Yuandong Tian
Joseph E. Gonzalez
Stuart Russell
+ Nearly Optimal Policy Optimization with Stable at Any Time Guarantee 2021 Tianhao Wu
Yunchang Yang
Han Zhong
Liwei Wang
Simon S. Du
Jiantao Jiao
+ Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning 2021 Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
+ Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism 2021 Paria Rashidinejad
Banghua Zhu
Cong Ma
Jiantao Jiao
Stuart Russell
+ Minimax Off-Policy Evaluation for Multi-Armed Bandits 2021 Cong Ma
Banghua Zhu
Jiantao Jiao
Martin J. Wainwright
+ PDF Chat Optimal rates of entropy estimation over Lipschitz balls 2020 Yanjun Han
Jiantao Jiao
Tsachy Weissman
Yihong Wu
+ Minimax Estimation of Divergences Between Discrete Distributions 2020 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory 2020 Paria Rashidinejad
Jiantao Jiao
Stuart Russell
+ PDF Chat On estimation of $$L_{r}$$-norms in Gaussian white noise models 2020 Yanjun Han
Jiantao Jiao
Rajarshi Mukherjee
+ PDF Chat When does the Tukey Median work? 2020 Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
+ Deconstructing Generative Adversarial Networks 2020 Banghua Zhu
Jiantao Jiao
David Tse
+ PDF Chat Bias Correction With Jackknife, Bootstrap, and Taylor Series 2020 Jiantao Jiao
Yanjun Han
+ When does the Tukey median work? 2020 Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
+ Robust estimation via generalized quasi-gradients 2020 Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
+ Toward the Fundamental Limits of Imitation Learning 2020 Nived Rajaraman
Lin F. Yang
Jiantao Jiao
Ramachandran Kannan
+ SLIP: Learning to predict in unknown dynamical systems with long-term memory 2020 Paria Rashidinejad
Jiantao Jiao
Stuart Russell
+ Toward the Fundamental Limits of Imitation Learning 2020 Nived Rajaraman
Lin F. Yang
Jiantao Jiao
Kannan Ramchandran
+ SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory 2020 Paria Rashidinejad
Jiantao Jiao
Stuart Russell
+ Concentration inequalities for the empirical distribution of discrete distributions: beyond the method of types 2019 Jay Mardia
Jiantao Jiao
Ervin Tánczos
Robert D. Nowak
Tsachy Weissman
+ PDF Chat Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits 2019 Jiantao Jiao
Yanjun Han
Irena Fischer-Hwang
Tsachy Weissman
+ Deconstructing Generative Adversarial Networks 2019 Banghua Zhu
Jiantao Jiao
David Tse
+ Theoretically Principled Trade-off between Robustness and Accuracy 2019 Hongyang Zhang
Yaodong Yu
Jiantao Jiao
Eric P. Xing
Laurent El Ghaoui
Michael I. Jordan
+ Generalized Resilience and Robust Statistics 2019 Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
+ Barracuda: The Power of $\ell$-polling in Proof-of-Stake Blockchains 2019 Giulia Fanti
Jiantao Jiao
Ashok Vardhan Makkuva
Sewoong Oh
Ranvir Rana
Pramod Viswanath
+ Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance 2018 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ Minimax Estimation of the <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math> </inline-formula> Distance 2018 Jiantao Jiao
Yanjun Han
Tsachy Weissman
+ PDF Chat Minimax Redundancy for Markov Chains with Large State Space 2018 Kedar Tatwawadi
Jiantao Jiao
Tsachy Weissman
+ Minimax redundancy for Markov chains with large state space. 2018 Kedar Tatwawadi
Jiantao Jiao
Tsachy Weissman
+ Mutual Information, Relative Entropy and Estimation Error in Semi-Martingale Channels 2018 Jiantao Jiao
Kartik Venkat
Tsachy Weissman
+ Entropy Rate Estimation for Markov Chains with Large State Space. 2018 Yanjun Han
Jiantao Jiao
Chuan-Zheng Lee
Tsachy Weissman
Yihong Wu
Tiancheng Yu
+ PDF Chat Generalizations of maximal inequalities to arbitrary selection rules 2018 Jiantao Jiao
Yanjun Han
Tsachy Weissman
+ Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance 2018 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ Concentration Inequalities for the Empirical Distribution 2018 Jay Mardia
Jiantao Jiao
Ervin Tánczos
Robert D. Nowak
Tsachy Weissman
+ Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures 2018 Hongyang Zhang
Susu Xu
Jiantao Jiao
Pengtao Xie
Ruslan Salakhutdinov
Eric P. Xing
+ Entropy Rate Estimation for Markov Chains with Large State Space 2018 Yanjun Han
Jiantao Jiao
Chuan-Zheng Lee
Tsachy Weissman
Yihong Wu
Tiancheng Yu
+ The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal 2018 Jiantao Jiao
Weihao Gao
Yanjun Han
+ Minimax redundancy for Markov chains with large state space 2018 Kedar Tatwawadi
Jiantao Jiao
Tsachy Weissman
+ PDF Chat Maximum Likelihood Estimation of Functionals of Discrete Distributions 2017 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
+ PDF Chat Dependence measures bounding the exploration bias for general measurements 2017 Jiantao Jiao
Yanjun Han
Tsachy Weissman
+ Relations Between Information and Estimation in Discrete-Time Lévy Channels 2017 Jiantao Jiao
Kartik Venkat
Tsachy Weissman
+ Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits 2017 Jiantao Jiao
Yanjun Han
Irena Fischer-Hwang
Tsachy Weissman
+ Generalizations of Maximal Inequalities to Arbitrary Selection Rules 2017 Jiantao Jiao
Yanjun Han
Tsachy Weissman
+ Bias Correction with Jackknife, Bootstrap, and Taylor Series 2017 Jiantao Jiao
Yanjun Han
+ Optimal rates of entropy estimation over Lipschitz balls 2017 Yanjun Han
Jiantao Jiao
Tsachy Weissman
Yihong Wu
+ The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal 2017 Jiantao Jiao
Weihao Gao
Yanjun Han
+ Approximate Profile Maximum Likelihood 2017 Dmitri S. Pavlichin
Jiantao Jiao
Tsachy Weissman
+ Mutual Information, Relative Entropy and Estimation Error in Semi-martingale Channels 2017 Jiantao Jiao
Kartik Venkat
Tsachy Weissman
+ PDF Chat Mutual information, relative entropy and estimation error in semi-martingale channels 2016 Jiantao Jiao
Kartik Venkat
Tsachy Weissman
+ PDF Chat Minimax estimation of the L<inf>1</inf> distance 2016 Jiantao Jiao
Yanjun Han
Tsachy Weissman
+ Minimax Estimation of KL Divergence between Discrete Distributions. 2016 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ Dependence Measures Bounding the Exploration Bias for General Measurements 2016 Jiantao Jiao
Yanjun Han
Tsachy Weissman
+ Minimax Rate-optimal Estimation of KL Divergence between Discrete Distributions. 2016 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ Demystifying ResNet 2016 Sihan Li
Jiantao Jiao
Yanjun Han
Tsachy Weissman
+ PDF Chat Minimax Estimation of Discrete Distributions Under <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula> Loss 2015 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ PDF Chat Justification of Logarithmic Loss via the Benefit of Side Information 2015 Jiantao Jiao
Thomas A. Courtade
Kartik Venkat
Tsachy Weissman
+ Minimax estimation of information measures 2015 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
+ PDF Chat Does dirichlet prior smoothing solve the Shannon entropy estimation problem? 2015 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ PDF Chat Adaptive estimation of Shannon entropy 2015 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ PDF Chat Minimax Estimation of Functionals of Discrete Distributions 2015 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
+ PDF Chat Does Dirichlet Prior Smoothing Solve the Shannon Entropy Estimation Problem 2015 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ Adaptive Estimation of Shannon Entropy 2015 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ PDF Chat Information Measures: The Curious Case of the Binary Alphabet 2014 Jiantao Jiao
Thomas A. Courtade
Albert No
Kartik Venkat
Tsachy Weissman
+ PDF Chat An extremal inequality for long Markov chains 2014 Thomas A. Courtade
Jiantao Jiao
+ Non-asymptotic Theory for the Plug-in Rule in Functional Estimation 2014 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
+ Order-Optimal Estimation of Functionals of Discrete Distributions. 2014 Jiantao Jiao
Kartik Venkat
Tsachy Weissman
+ PDF Chat Justification of logarithmic loss via the benefit of side information 2014 Jiantao Jiao
Thomas A. Courtade
Kartik Venkat
Tsachy Weissman
+ Beyond Maximum Likelihood: from Theory to Practice 2014 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
+ Minimax Estimation of Discrete Distributions under $\ell_1$ Loss 2014 Yanjun Han
Jiantao Jiao
Tsachy Weissman
+ An Extremal Inequality for Long Markov Chains 2014 Thomas A. Courtade
Jiantao Jiao
+ On an Extremal Data Processing Inequality for long Markov Chains 2014 Thomas A. Courtade
Jiantao Jiao
Tsachy Weissman
+ Minimax Estimation of Functionals of Discrete Distributions 2014 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
+ Relations between Information and Estimation in Discrete-Time Lévy Channels 2014 Jiantao Jiao
Kartik Venkat
Tsachy Weissman
+ Maximum Likelihood Estimation of Functionals of Discrete Distributions 2014 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
+ PDF Chat Universal Estimation of Directed Information 2013 Jiantao Jiao
Haim H. Permuter
Lei Zhao
Young-Han Kim
Tsachy Weissman
+ PDF Chat Minimax-Optimal Bounds for Detectors Based on Estimated Prior Probabilities 2012 Jiantao Jiao
Lin Zhang
Robert D. Nowak
+ Bioequivalence assessment of metformin hydrochloride using a limited sampling strategy 2011 Lu Chen
Jiantao Jiao
C L Zhang
Jinfeng Lou
C X Liu
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation 2016 Yihong Wu
Pengkun Yang
21
+ PDF Chat Minimax Estimation of Functionals of Discrete Distributions 2015 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
21
+ Estimating the unseen 2011 Gregory Valiant
Paul Valiant
20
+ Introduction to Nonparametric Estimation 2008 Alexandre B. Tsybakov
19
+ Moduli of Smoothness 1987 Z. Ditzian
Вилмос Тотик
15
+ Concentration inequalities : a non asymptotic theory of independence 2013 Stéphane Boucheron
Gábor Lugosi
Pascal Massart
15
+ Probability and Computing: Randomized Algorithms and Probabilistic Analysis 2005 Michael Mitzenmacher
Eli Upfal
14
+ PDF Chat Maximum Likelihood Estimation of Functionals of Discrete Distributions 2017 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
14
+ Minimax Estimation of Divergences Between Discrete Distributions 2020 Yanjun Han
Jiantao Jiao
Tsachy Weissman
13
+ PDF Chat Testing composite hypotheses, Hermite polynomials and optimal estimation of a nonsmooth functional 2011 Tommaso Cai
Mark G. Low
11
+ Beyond Maximum Likelihood: from Theory to Practice 2014 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
11
+ PDF Chat Minimax Estimation of Discrete Distributions Under <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula> Loss 2015 Yanjun Han
Jiantao Jiao
Tsachy Weissman
9
+ Minimax Estimation of the <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math> </inline-formula> Distance 2018 Jiantao Jiao
Yanjun Han
Tsachy Weissman
9
+ Minimax rates of entropy estimation on large alphabets via best polynomial approximation 2014 Yihong Wu
Pengkun Yang
9
+ Bernstein polynomials and learning theory 2004 Dietrich Braess
Thomas Sauer
8
+ PDF Chat Robust covariance and scatter matrix estimation under Huber’s contamination model 2018 Mengjie Chen
Chao Gao
Zhao Ren
8
+ PDF Chat The "Automatic" Robustness of Minimum Distance Functionals 1988 David L. Donoho
Richard C. Liu
8
+ Bias reduction by taylor series<sup>∗</sup> 1987 Christopher S. Withers
7
+ Chebyshev polynomials, moment matching, and optimal estimation of the unseen 2015 Yihong Wu
Pengkun Yang
7
+ PDF Chat Robust Regression: Asymptotics, Conjectures and Monte Carlo 1973 Peter J. Huber
7
+ Minimax and Adaptive Inference in Nonparametric Function Estimation 2012 Tommaso Cai
7
+ PDF Chat On estimation of the L r norm of a regression function 1999 Oleg Lepski
Arkadi Nemirovski
Vladimir Spokoiny
7
+ PDF Chat Minimax estimation of the L&lt;inf&gt;1&lt;/inf&gt; distance 2016 Jiantao Jiao
Yanjun Han
Tsachy Weissman
6
+ PDF Chat On the Estimation of Quadratic Functionals 1991 Jianqing Fan
6
+ PDF Chat Estimation of Integral Functionals of a Density 1995 Lucien Birgé
Pascal Massart
6
+ On the bias of information estimates. 1969 A. G. Carlton
6
+ PDF Chat Robust Estimators in High-Dimensions Without the Computational Intractability 2019 Ilias Diakonikolas
Gautam Kamath
Daniel M. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
6
+ PDF Chat Nonquadratic estimators of a quadratic functional 2005 Tommaso Cai
Mark G. Low
6
+ PDF Chat The influence function and maximum bias of Tukey's median 2002 Zhiqiang Chen
David E. Tyler
6
+ PDF Chat Closed Form Summation for Classical Distributions: Variations on a Theme of De Moivre 1991 Persi Diaconis
S. L. Zabell
6
+ Some worst-case bounds for Bayesian estimators of discrete distributions 2013 Steffen Schober
6
+ Variational Minimax Estimation of Discrete Distributions under KL Loss 2004 Liam Paninski
6
+ Bayes' estimators of generalized entropies 1998 Dirk Holste
Ivo Große
Hanspeter Herzel
6
+ Minimax quadratic estimation of a quadratic functional 1990 David L. Donoho
Michael Nussbaum
6
+ PDF Chat Mutual Information and Minimum Mean-Square Error in Gaussian Channels 2005 Dongning Guo
Shlomo Shamai
Sergio Verdú
5
+ Generalized Resilience and Robust Statistics 2019 Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
5
+ PDF Chat Breakdown Properties of Location Estimates Based on Halfspace Depth and Projected Outlyingness 1992 David L. Donoho
Miriam Gasko
5
+ Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks 2009 Jean Hausser
Korbinian Strimmer
5
+ PDF Chat Adaptive estimation of Shannon entropy 2015 Yanjun Han
Jiantao Jiao
Tsachy Weissman
5
+ PDF Chat Renyi entropy of the XY spin chain 2007 Fabio Franchini
A. R. Its
V. E. Korepin
5
+ On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities 2015 Vladimir Vapnik
Alexey Chervonenkis
5
+ Finite sample corrections to entropy and dimension estimates 1988 Peter Grassberger
5
+ A sharp estimate of the binomial mean absolute deviation with applications 2013 Daniel Berend
Aryeh Kontorovich
5
+ Approximation by Bernstein Polynomials 1994 Вилмос Тотик
5
+ On the estimation of entropy 1993 Peter Hall
Sally C. Morton
5
+ Sample complexity of the distinct elements problem 2016 Yihong Wu
Pengkun Yang
5
+ Estimating Entropy on&amp;lt;tex&amp;gt;$m$&amp;lt;/tex&amp;gt;Bins Given Fewer Than&amp;lt;tex&amp;gt;$m$&amp;lt;/tex&amp;gt;Samples 2004 Liam Paninski
5
+ Non-asymptotic Theory for the Plug-in Rule in Functional Estimation 2014 Jiantao Jiao
Kartik Venkat
Yanjun Han
Tsachy Weissman
5
+ Ideal spatial adaptation by wavelet shrinkage 1994 David L. Donoho
Iain M. Johnstone
5
+ PDF Chat A characterization of limiting distributions of regular estimates 1970 Jaroslav H�jek
5