| 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 | 144 | 2016 |
| On risk bounds in isotonic and other shape restricted regression problems S Chatterjee, A Guntuboyina, B Sen The Annals of Statistics 43 (4), 1774-1800, 2015 | 123 | 2015 |
| Global risk bounds and adaptation in univariate convex regression A Guntuboyina, B Sen Probability Theory and Related Fields 163 (1), 379-411, 2015 | 90 | 2015 |
| Lower Bounds for the Minimax Risk Using -Divergences, and Applications A Guntuboyina IEEE Transactions on Information Theory 57 (4), 2386-2399, 2011 | 69 | 2011 |
| Adaptive risk bounds in univariate total variation denoising and trend filtering A Guntuboyina, D Lieu, S Chatterjee, B Sen The Annals of Statistics 48 (1), 205-229, 2020 | 68* | 2020 |
| Covering numbers for convex functions A Guntuboyina, B Sen IEEE Transactions on Information Theory 59 (4), 1957-1965, 2012 | 68 | 2012 |
| Nonparametric shape-restricted regression A Guntuboyina, B Sen Statistical Science 33 (4), 568-594, 2018 | 63 | 2018 |
| On matrix estimation under monotonicity constraints S Chatterjee, A Guntuboyina, B Sen Bernoulli 24 (2), 1072-1100, 2018 | 58 | 2018 |
| Adaptation in log-concave density estimation AKH Kim, A Guntuboyina, RJ Samworth The Annals of Statistics 46 (5), 2279-2306, 2018 | 45 | 2018 |
| Sharp Inequalities for -Divergences A Guntuboyina, S Saha, G Schiebinger IEEE transactions on information theory 60 (1), 104-121, 2013 | 42 | 2013 |
| Optimal rates of convergence for convex set estimation from support functions A Guntuboyina Annals of Statistics 40 (1), 385-411, 2012 | 42 | 2012 |
| On Bayes risk lower bounds X Chen, A Guntuboyina, Y Zhang The Journal of Machine Learning Research 17 (1), 7687-7744, 2016 | 31 | 2016 |
| Concentration of the spectral measure of large Wishart matrices with dependent entries A Guntuboyina, H Leeb Electronic Communications in Probability 14, 334-342, 2009 | 28 | 2009 |
| 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 | 27 | 2020 |
| Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy–Krause variation B Fang, A Guntuboyina, B Sen The Annals of Statistics 49 (2), 769-792, 2021 | 22 | 2021 |
| Max-affine regression: Provable, tractable, and near-optimal statistical estimation A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran arXiv preprint arXiv:1906.09255, 2019 | 20 | 2019 |
| The geometry of hypothesis testing over convex cones: Generalized likelihood ratio tests and minimax radii Y Wei, MJ Wainwright, A Guntuboyina The Annals of Statistics 47 (2), 994-1024, 2019 | 17 | 2019 |
| Minimax lower bounds A Guntuboyina Yale University, 2011 | 15 | 2011 |
| Convex regression in multidimensions: Suboptimality of least squares estimators G Kur, F Gao, A Guntuboyina, B Sen arXiv preprint arXiv:2006.02044, 2020 | 13 | 2020 |
| Adaptation in multivariate log-concave density estimation OY Feng, A Guntuboyina, AKH Kim, RJ Samworth The Annals of Statistics 49 (1), 129-153, 2021 | 12 | 2021 |
Bodhisattva SenColumbia University, New YorkVerified email at stat.columbia.edu
