Stochastically transitive models for pairwise comparisons: Statistical and computational issues N Shah, S Balakrishnan, A Guntuboyina, M Wainwright
International Conference on Machine Learning, 11-20, 2016
171 2016 On risk bounds in isotonic and other shape restricted regression problems S Chatterjee, A Guntuboyina, B Sen
144 2015 Global risk bounds and adaptation in univariate convex regression A Guntuboyina, B Sen
Probability Theory and Related Fields 163 (1), 379-411, 2015
101 2015 Nonparametric shape-restricted regression A Guntuboyina, B Sen
Statistical Science 33 (4), 568-594, 2018
95 2018 Covering numbers for convex functions A Guntuboyina, B Sen
IEEE Transactions on Information Theory 59 (4), 1957-1965, 2012
85 * 2012 Lower Bounds for the Minimax Risk Using -Divergences, and Applications A Guntuboyina
IEEE Transactions on Information Theory 57 (4), 2386-2399, 2011
84 2011 Adaptive risk bounds in univariate total variation denoising and trend filtering A Guntuboyina, D Lieu, S Chatterjee, B Sen
80 * 2020 On matrix estimation under monotonicity constraints S Chatterjee, A Guntuboyina, B Sen
72 2018 On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising S Saha, A Guntuboyina
The Annals of Statistics 48 (2), 738-762, 2020
56 2020 Adaptation in log-concave density estimation AKH Kim, A Guntuboyina, RJ Samworth
The Annals of Statistics 46 (5), 2279-2306, 2018
53 2018 On Bayes risk lower bounds X Chen, Y Zhang
Journal of Machine Learning Research 17 (218), 1-58, 2016
52 2016 Sharp Inequalities for -Divergences A Guntuboyina, S Saha, G Schiebinger
IEEE transactions on information theory 60 (1), 104-121, 2013
49 2013 Optimal rates of convergence for convex set estimation from support functions A Guntuboyina
Annals of Statistics 40 (1), 385-411, 2012
47 2012 Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy–Krause variation B Fang, A Guntuboyina, B Sen
33 2021 Concentration of the spectral measure of large Wishart matrices with dependent entries A Guntuboyina, H Leeb
32 2009 Max-affine regression: Provable, tractable, and near-optimal statistical estimation A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran
arXiv preprint arXiv:1906.09255, 2019
29 2019 The geometry of hypothesis testing over convex cones: Generalized likelihood ratio tests and minimax radii Y Wei, MJ Wainwright, A Guntuboyina
25 2019 Convex regression in multidimensions: Suboptimality of least squares estimators G Kur, F Gao, A Guntuboyina, B Sen
arXiv preprint arXiv:2006.02044, 2020
23 2020 Adaptation in multivariate log-concave density estimation OY Feng, A Guntuboyina, AKH Kim, RJ Samworth
21 2021 Max-affine regression: Parameter estimation for Gaussian designs A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran
IEEE Transactions on Information Theory 68 (3), 1851-1885, 2021
20 2021