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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 WithandControls
JM Klusowski, AR Barron
IEEE Transactions on Information Theory 64 (12), 7649-7656, 2018
902018
Approximation and estimation for high-dimensional deep learning networks
AR Barron, JM Klusowski
arXiv preprint arXiv:1809.03090, 2018
552018
Risk bounds for high-dimensional ridge function combinations including neural networks
JM Klusowski, AR Barron
arXiv preprint arXiv:1607.01434, 2016
552016
Algorithmic analysis and statistical estimation of slope via approximate message passing
Z Bu, J Klusowski, C Rush, W Su
Advances in Neural Information Processing Systems 32, 2019
392019
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
292019
Complexity, statistical risk, and metric entropy of deep nets using total path variation
AR Barron, JM Klusowski
arXiv preprint arXiv:1902.00800, 2019
242019
Counting motifs with graph sampling
JM Klusowski, Y Wu
Conference On Learning Theory, 1966-2011, 2018
232018
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
Complete analysis of a random forest model
JM Klusowski
arXiv preprint arXiv:1805.02587, 2018
192018
Sharp analysis of a simple model for random forests
J Klusowski
International Conference on Artificial Intelligence and Statistics, 757-765, 2021
182021
Minimax lower bounds for ridge combinations including neural nets
JM Klusowski, AR Barron
2017 IEEE International Symposium on Information Theory (ISIT), 1376-1380, 2017
142017
Uniform approximation by neural networks activated by first and second order ridge splines
JM Klusowski, AR Barron
arXiv preprint arXiv:1607.07819, 2016
142016
Estimating the number of connected components in a graph via subgraph sampling
JM Klusowski, Y Wu
132020
Sparse learning with CART
J Klusowski
Advances in Neural Information Processing Systems 33, 11612-11622, 2020
132020
Estimating the coefficients of a mixture of two linear regressions by expectation maximization
JM Klusowski, D Yang, WD Brinda
arXiv preprint arXiv:1704.08231, 2017
82017
Characterizing the SLOPE trade-off: A variational perspective and the Donoho-Tanner limit
Z Bu, J Klusowski, C Rush, WJ Su
arXiv preprint arXiv:2105.13302, 2021
72021
Uniform approximation by neural networks activated by first and second order ridge splines
AR Barron, JM Klusowski
arXiv preprint arXiv:1607.07819, 2016
62016
Estimation of convex supports from noisy measurements
VE Brunel, JM Klusowski, D Yang
52021
Universal consistency of decision trees in high dimensions
JM Klusowski
arXiv preprint arXiv:2104.13881, 2021
52021
Analyzing cart
JM Klusowski
arXiv preprint arXiv:1906.10086, 2019
52019
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