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Dive into the research topics where Jason Matthew Klusowski is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Active
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Deep Learning and Random Forests for High-Dimensional Regression
NSF - National Science Foundation
9/1/20 → 7/31/22
Project: Research project
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Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Bu, Z., Klusowski, J. M., Rush, C. & Su, W. J., Jan 2021, In: IEEE Transactions on Information Theory. 67, 1, p. 506-537 32 p., 9204751.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Estimation of convex supports from noisy measurements
Brunel, V. E., Klusowski, J. M. & Yang, D., May 2021, In: Bernoulli. 27, 2, p. 772-793 22 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Estimating the number of connected components in a graph via subgraph sampling
Klusowski, J. M. & Wu, Y., Aug 2020, In: Bernoulli. 26, 3, p. 1635-1664 30 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Sparse learning with CART
Klusowski, J. M., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
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Algorithmic analysis and statistical estimation of SLOPE via approximate message passing
Bu, Z., Klusowski, J. M., Rush, C. & Su, W., 2019, In: Advances in Neural Information Processing Systems. 32Research output: Contribution to journal › Conference article › peer-review
5 Scopus citations