Sotabase

Career

· Assistant Professor, University of California, Berkeley2012–
· Postdoctoral Researcher, University of Pennsylvania2011–2011
· Intern, AT&T Shannon Labs2007–
· Ph.D. in Statistics, Yale University2006–2011
· M.Stat., Indian Statistical Institute2004–2006
· B.Stat. (Honors), Indian Statistical Institute2001–2004

Publications (60)

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
IEEE Transactions on Information Theory · 2015
153
cited
On risk bounds in isotonic and other shape restricted regression problems
2013
141
cited
Global risk bounds and adaptation in univariate convex regression
2013
86
cited
Lower Bounds for the Minimax Risk Using $f$-Divergences, and Applications
IEEE Transactions on Information Theory · 2010
81
cited
Covering Numbers for Convex Functions
IEEE Transactions on Information Theory · 2012
77
cited
Nonparametric Shape-Restricted Regression
Statistical Science · 2017
75
cited
Adaptive risk bounds in univariate total variation denoising and trend filtering
Annals of Statistics · 2017
67
cited
On matrix estimation under monotonicity constraints
2015
61
cited
On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising
Annals of Statistics · 2017
57
cited
On Bayes Risk Lower Bounds
Journal of machine learning research · 2014
50
cited
Adaptation in log-concave density estimation
Annals of Statistics · 2016
46
cited
Optimal rates of convergence for convex set estimation from support functions
2011
44
cited
Sharp Inequalities for <formula formulatype="inline"><tex Notation="TeX">$f$</tex> </formula>-Divergences
IEEE Transactions on Information Theory · 2013
35
cited
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy–Krause variation
2019
33
cited
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
arXiv.org · 2019
27
cited
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood
Journal of the Royal Statistical Society Series B: Statistical Methodology · 2021
27
cited
Concentration of the spectral measure of large Wishart matrices with dependent entries
2008
25
cited
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii
Annals of Statistics · 2017
22
cited
Max-Affine Regression: Parameter Estimation for Gaussian Designs
IEEE Transactions on Information Theory · 2022
18
cited
Convex regression in multidimensions: Suboptimality of least squares estimators
Annals of Statistics · 2020
16
cited
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Aditya Guntuboyina | Researcher Profile | Sotabase | Sotabase