Sabyasachi Chatterjee

20142019
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Least Squares Estimator Mathematics
Regression Mathematics
Penalized Likelihood Mathematics
Isotonic Regression Mathematics
Monotonicity Mathematics
Logarithmic Mathematics
Parameter Space Mathematics
Penalty Mathematics

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Research Output 2014 2019

  • 5 Article
  • 2 Conference contribution
  • 1 Conference article

Adaptive risk bounds in unimodal regression

Chatterjee, S. & Lafferty, J., Feb 1 2019, In : Bernoulli. 25, 1, p. 1-25 25 p.

Research output: Contribution to journalArticle

Least Squares Estimator
Regression
Isotonic Regression
Parameter Space
Oracle Inequalities

Denoising flows on trees

Chatterjee, S. & Lafferty, J., Mar 1 2018, In : IEEE Transactions on Information Theory. 64, 3, p. 1767-1783 17 p.

Research output: Contribution to journalArticle

regime
regression
Values

On matrix estimation under monotonicity constraints

Chatterjee, S., Guntuboyina, A. & Sen, B., May 1 2018, In : Bernoulli. 24, 2, p. 1072-1100 29 p.

Research output: Contribution to journalArticle

Least Squares Estimator
Monotonicity
Logarithmic
Minimax Rate
Convex Geometry

Prediction rule reshaping

Bonakdarpour, M., Chatterjee, S., Barber, R. F. & Lafferty, J., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), Vol. 2. p. 1014-1022 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Experiments

An improved global risk bound in concave regression

Chatterjee, S., Jan 1 2016, In : Electronic Journal of Statistics. 10, 1, p. 1608-1629 22 p.

Research output: Contribution to journalArticle

Regression
Logarithmic
Squared Error Loss
Model Misspecification
Function Estimation