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Jason M. Klusowski
Jason M. Klusowski
Assistant Professor, Department of Operations Research & Financial Engineering
Bestätigte E-Mail-Adresse bei princeton.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
190*2018
Risk bounds for high-dimensional ridge function combinations including neural networks
JM Klusowski, AR Barron
arXiv preprint arXiv:1607.01434, 2016
772016
Approximation and estimation for high-dimensional deep learning networks
AR Barron, JM Klusowski
arXiv preprint arXiv:1809.03090, 2018
752018
Sharp analysis of a simple model for random forests
J Klusowski
International Conference on Artificial Intelligence and Statistics, 757-765, 2021
73*2021
Large scale prediction with decision trees
JM Klusowski, PM Tian
Journal of the American Statistical Association 119 (545), 525-537, 2024
63*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
622019
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
592020
Complexity, statistical risk, and metric entropy of deep nets using total path variation
AR Barron, JM Klusowski
arXiv preprint arXiv:1902.00800, 2019
342019
Counting motifs with graph sampling
JM Klusowski, Y Wu
Conference On Learning Theory, 1966-2011, 2018
302018
Statistical guarantees for estimating the centers of a two-component Gaussian mixture by EM
JM Klusowski, WD Brinda
arXiv preprint arXiv:1608.02280, 2016
262016
Sparse learning with CART
J Klusowski
Advances in Neural Information Processing Systems 33, 11612-11622, 2020
232020
On the implicit bias of adam
MD Cattaneo, JM Klusowski, B Shigida
arXiv preprint arXiv:2309.00079, 2023
202023
Minimax lower bounds for ridge combinations including neural nets
JM Klusowski, AR Barron
2017 IEEE International Symposium on Information Theory (ISIT), 1376-1380, 2017
192017
Estimating the number of connected components in a graph via subgraph sampling
JM Klusowski, Y Wu
172020
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
122024
Inference with mondrian random forests
MD Cattaneo, JM Klusowski, WG Underwood
arXiv preprint arXiv:2310.09702, 2023
122023
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
112023
Analyzing cart
JM Klusowski
arXiv preprint arXiv:1906.10086, 2019
112019
Good classifiers are abundant in the interpolating regime
R Theisen, J Klusowski, M Mahoney
International Conference on Artificial Intelligence and Statistics, 3376-3384, 2021
10*2021
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
82022
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