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Jason M. Klusowski
Jason M. Klusowski
Assistant Professor, Department of Operations Research & Financial Engineering
Dirección de correo verificada de princeton.edu - Página principal
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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
158*2018
Approximation and estimation for high-dimensional deep learning networks
AR Barron, JM Klusowski
arXiv preprint arXiv:1809.03090, 2018
672018
Risk bounds for high-dimensional ridge function combinations including neural networks
JM Klusowski, AR Barron
arXiv preprint arXiv:1607.01434, 2016
662016
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
532020
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
512019
Sharp analysis of a simple model for random forests
J Klusowski
International Conference on Artificial Intelligence and Statistics, 757-765, 2021
43*2021
Complexity, statistical risk, and metric entropy of deep nets using total path variation
AR Barron, JM Klusowski
arXiv preprint arXiv:1902.00800, 2019
272019
Counting motifs with graph sampling
JM Klusowski, Y Wu
Conference On Learning Theory, 1966-2011, 2018
272018
Large scale prediction with decision trees
JM Klusowski, PM Tian
Journal of the American Statistical Association, 1-27, 2023
26*2023
Statistical guarantees for estimating the centers of a two-component Gaussian mixture by EM
JM Klusowski, WD Brinda
arXiv preprint arXiv:1608.02280, 2016
222016
Sparse learning with CART
J Klusowski
Advances in Neural Information Processing Systems 33, 11612-11622, 2020
192020
Minimax lower bounds for ridge combinations including neural nets
JM Klusowski, AR Barron
2017 IEEE International Symposium on Information Theory (ISIT), 1376-1380, 2017
182017
Estimating the number of connected components in a graph via subgraph sampling
JM Klusowski, Y Wu
152020
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
102023
Sharp analysis of a simple model for random forests
JM Klusowski
arXiv preprint arXiv:1805.02587, 2018
92018
Analyzing cart
JM Klusowski
arXiv preprint arXiv:1906.10086, 2019
82019
Estimation of convex supports from noisy measurements
VE Brunel, JM Klusowski, D Yang
72021
Good classifiers are abundant in the interpolating regime
R Theisen, J Klusowski, M Mahoney
International Conference on Artificial Intelligence and Statistics, 3376-3384, 2021
7*2021
On the implicit bias of adam
MD Cattaneo, JM Klusowski, B Shigida
arXiv preprint arXiv:2309.00079, 2023
62023
Convergence rates of oblique regression trees for flexible function libraries
MD Cattaneo, R Chandak, JM Klusowski
arXiv preprint arXiv:2210.14429, 2022
52022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20