Jason Matthew Klusowski

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1 Similar Profiles

1 Finished
1 Active

CAREER: Statistical Learning with Recursive Partitioning: Algorithms, Accuracy, and Applications
Klusowski, J. M. (PI)
NSF - National Science Foundation
6/1/23 → 5/31/28
Project: Research project
Deep Learning and Random Forests for High-Dimensional Regression
Klusowski, J. M. (PI)
NSF - National Science Foundation
9/1/20 → 7/31/23
Project: Research project

10 Article
6 Conference article
1 Conference contribution

CONVERGENCE RATES OF OBLIQUE REGRESSION TREES FOR FLEXIBLE FUNCTION LIBRARIES
Cattaneo, M. D., Chandak, R. & Klusowski, J. M., Apr 2024, In: Annals of Statistics. 52, 2, p. 466-490 25 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Large Scale Prediction with Decision Trees
Klusowski, J. M. & Tian, P. M., 2024, In: Journal of the American Statistical Association. 119, 545, p. 525-537 13 p.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Scopus citations
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

Open Access
1 Scopus citations
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

Open Access
15 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
3 Scopus citations

Jason Matthew Klusowski

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Collaborations and top research areas from the last five years

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CAREER: Statistical Learning with Recursive Partitioning: Algorithms, Accuracy, and Applications

Deep Learning and Random Forests for High-Dimensional Regression

CONVERGENCE RATES OF OBLIQUE REGRESSION TREES FOR FLEXIBLE FUNCTION LIBRARIES

Large Scale Prediction with Decision Trees

CHARACTERIZING THE SLOPE TRADE-OFF: A VARIATIONAL PERSPECTIVE AND THE DONOHO–TANNER LIMIT

Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing

Estimation of convex supports from noisy measurements

Jason Matthew Klusowski

Fingerprint

Collaborations and top research areas from the last five years

Projects

CAREER: Statistical Learning with Recursive Partitioning: Algorithms, Accuracy, and Applications

Deep Learning and Random Forests for High-Dimensional Regression

Research output

CONVERGENCE RATES OF OBLIQUE REGRESSION TREES FOR FLEXIBLE FUNCTION LIBRARIES

Large Scale Prediction with Decision Trees

CHARACTERIZING THE SLOPE TRADE-OFF: A VARIATIONAL PERSPECTIVE AND THE DONOHO–TANNER LIMIT

Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing

Estimation of convex supports from noisy measurements