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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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Collaborations and top research areas from the last five years
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Deep Learning and Random Forests for High-Dimensional Regression
NSF - National Science Foundation
9/1/20 → 7/31/23
Project: Research project
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Deep Learning and Random Forests for High-Dimensional Regression
8/15/19 → 11/30/20
Project: Research project
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CHARACTERIZING THE SLOPE TRADE-OFF: A VARIATIONAL PERSPECTIVE AND THE DONOHO–TANNER LIMIT
Bu, Z., Klusowski, J. M., Rush, C. & Su, W. J., Feb 2023, In: Annals of Statistics. 51, 1, p. 33-61 29 p.Research output: Contribution to journal › Article › peer-review
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Large Scale Prediction with Decision Trees
Klusowski, J. M. & Tian, P. M., 2023, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › 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. J., Jan 2021, In: IEEE Transactions on Information Theory. 67, 1, p. 506-537 32 p., 9204751.Rutgers, The State University, Princeton University
Research output: Contribution to journal › Article › peer-review
Open Access1 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
Open Access -
Good Classifiers are Abundant in the Interpolating Regime
Theisen, R., Klusowski, J. M. & Mahoney, M. W., 2021, In: Proceedings of Machine Learning Research. 130, p. 3376-3384 9 p.Research output: Contribution to journal › Conference article › peer-review