Jason M. Klusowski

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Andrew R BarronProfessor of Statistics, Yale UniversityE-mail confirmado em yale.edu
Matias D. CattaneoPrinceton UniversityE-mail confirmado em princeton.edu
Dana YangAssistant Professor, Cornell UniversityE-mail confirmado em cornell.edu
Weijie SuAssociate Professor, University of PennsylvaniaE-mail confirmado em wharton.upenn.edu
Cynthia RushColumbia UniversityE-mail confirmado em columbia.edu
Zhiqi BuAmazon AGIE-mail confirmado em sas.upenn.edu
Yihong WuProfessor, Department of Statistics and Data ScienceE-mail confirmado em yale.edu
Ryan TheisenUniversity of California, BerkeleyE-mail confirmado em berkeley.edu
Rajita ChandakEPFLE-mail confirmado em epfl.ch
Jianqing FanProfessor of Statistics, Professor of Finance, Princeton UniversityE-mail confirmado em princeton.edu
Michael MahoneyProfessor of Statistics, UC BerkeleyE-mail confirmado em stat.berkeley.edu
Boris ShigidaPhD Student, Princeton UniversityE-mail confirmado em princeton.edu
Victor-Emmanuel BrunelENSAE-CREST, Professor in StatisticsE-mail confirmado em ensae.fr
Mengdi WangCenter for Statistics & Machine Learning, ECE, Princeton UniversityE-mail confirmado em princeton.edu
Yuan CaoThe University of Hong KongE-mail confirmado em hku.hk
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityE-mail confirmado em northwestern.edu
Zihao LiPrinceton UniversityE-mail confirmado em princeton.edu
William G UnderwoodUniversity of CambridgeE-mail confirmado em cam.ac.uk
Yan Shuo TanAssistant Professor, National University of SingaporeE-mail confirmado em nus.edu.sg
Caiming XiongSalesforce ResearchE-mail confirmado em salesforce.com

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Jason M. Klusowski

Assistant Professor, Department of Operations Research & Financial Engineering

E-mail confirmado em princeton.edu - Página inicial

statistics probability machine learning information theory


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions With and Controls JM Klusowski, AR Barron IEEE Transactions on Information Theory 64 (12), 7649-7656, 2018	191*	2018
Approximation and estimation for high-dimensional deep learning networks AR Barron, JM Klusowski arXiv preprint arXiv:1809.03090, 2018	79	2018
Risk bounds for high-dimensional ridge function combinations including neural networks JM Klusowski, AR Barron arXiv preprint arXiv:1607.01434, 2016	75	2016
Sharp analysis of a simple model for random forests J Klusowski International Conference on Artificial Intelligence and Statistics, 757-765, 2021	72*	2021
Large scale prediction with decision trees JM Klusowski, PM Tian Journal of the American Statistical Association 119 (545), 525-537, 2024	67*	2024
Estimating the coefficients of a mixture of two linear regressions by expectation maximization JM Klusowski, D Yang, WD Brinda IEEE Transactions on Information Theory 65 (6), 3515-3524, 2019	62	2019
Algorithmic analysis and statistical estimation of SLOPE via approximate message passing Z Bu, JM Klusowski, C Rush, WJ Su IEEE Transactions on Information Theory 67 (1), 506-537, 2020	59	2020
Complexity, statistical risk, and metric entropy of deep nets using total path variation AR Barron, JM Klusowski arXiv preprint arXiv:1902.00800, 2019	36	2019
Counting motifs with graph sampling JM Klusowski, Y Wu Conference On Learning Theory, 1966-2011, 2018	31	2018
Statistical guarantees for estimating the centers of a two-component Gaussian mixture by EM JM Klusowski, WD Brinda arXiv preprint arXiv:1608.02280, 2016	27	2016
Sparse learning with CART J Klusowski Advances in Neural Information Processing Systems 33, 11612-11622, 2020	23	2020
On the implicit bias of adam MD Cattaneo, JM Klusowski, B Shigida arXiv preprint arXiv:2309.00079, 2023	21	2023
Minimax lower bounds for ridge combinations including neural nets JM Klusowski, AR Barron 2017 IEEE International Symposium on Information Theory (ISIT), 1376-1380, 2017	18	2017
Estimating the number of connected components in a graph via subgraph sampling JM Klusowski, Y Wu	17	2020
Convergence rates of oblique regression trees for flexible function libraries MD Cattaneo, R Chandak, JM Klusowski The Annals of Statistics 52 (2), 466-490, 2024	14	2024
Inference with mondrian random forests MD Cattaneo, JM Klusowski, WG Underwood arXiv preprint arXiv:2310.09702, 2023	12	2023
On the pointwise behavior of recursive partitioning and its implications for heterogeneous causal effect estimation MD Cattaneo, JM Klusowski, PM Tian arXiv preprint arXiv:2211.10805, 2022	12	2022
Characterizing the SLOPE trade-off: A variational perspective and the Donoho–Tanner limit Z Bu, JM Klusowski, C Rush, WJ Su The Annals of Statistics 51 (1), 33-61, 2023	11	2023
Good classifiers are abundant in the interpolating regime R Theisen, J Klusowski, M Mahoney International Conference on Artificial Intelligence and Statistics, 3376-3384, 2021	11*	2021
Analyzing cart JM Klusowski arXiv preprint arXiv:1906.10086, 2019	11	2019

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