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

11 Article
9 Conference article
1 Conference contribution

Sharp Convergence Rates for Matching Pursuit
Klusowski, J. M. & Siegel, J. W., 2025, (Accepted/In press) In: IEEE Transactions on Information Theory.
Research output: Contribution to journal › Article › peer-review
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

Open Access
2 Scopus citations
Global Convergence in Training Large-Scale Transformers
Gao, C., Cao, Y., Li, Z., He, Y., Wang, M., Liu, H., Klusowski, J. M. & Fan, J., 2024, In: Advances in Neural Information Processing Systems. 37
Research output: Contribution to journal › Conference article › peer-review
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
22 Scopus citations
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
Li, Z., Cao, Y., Gao, C., He, Y., Liu, H., Klusowski, J. M., Fan, J. & Wang, M., 2024, In: Advances in Neural Information Processing Systems. 37
Research output: Contribution to journal › Conference article › peer-review

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

Sharp Convergence Rates for Matching Pursuit

CONVERGENCE RATES OF OBLIQUE REGRESSION TREES FOR FLEXIBLE FUNCTION LIBRARIES

Global Convergence in Training Large-Scale Transformers

Large Scale Prediction with Decision Trees

One-Layer Transformer Provably Learns One-Nearest Neighbor In Context

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

Sharp Convergence Rates for Matching Pursuit

CONVERGENCE RATES OF OBLIQUE REGRESSION TREES FOR FLEXIBLE FUNCTION LIBRARIES

Global Convergence in Training Large-Scale Transformers

Large Scale Prediction with Decision Trees

One-Layer Transformer Provably Learns One-Nearest Neighbor In Context