Sparse Bayesian infinite factor models A Bhattacharya, DB Dunson Biometrika 98 (2), 291-306, 2011 | 533 | 2011 |
Dirichlet–Laplace priors for optimal shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson Journal of the American Statistical Association 110 (512), 1479-1490, 2015 | 503 | 2015 |
Fast sampling with Gaussian scale mixture priors in high-dimensional regression A Bhattacharya, A Chakraborty, BK Mallick Biometrika, asw042, 2016 | 211 | 2016 |
Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang | 137 | 2019 |
Posterior contraction in sparse Bayesian factor models for massive covariance matrices D Pati, A Bhattacharya, NS Pillai, D Dunson | 122 | 2014 |
α-variational inference with statistical guarantees Y Yang, D Pati, A Bhattacharya The Annals of Statistics 48 (2), 886-905, 2020 | 118 | 2020 |
Scalable Bayesian variable selection using nonlocal prior densities in ultrahigh-dimensional settings M Shin, A Bhattacharya, VE Johnson Statistica Sinica 28 (2), 1053, 2018 | 106 | 2018 |
Scalable approximate MCMC algorithms for the horseshoe prior J Johndrow, P Orenstein, A Bhattacharya Journal of Machine Learning Research 21 (73), 1-61, 2020 | 89* | 2020 |
Probabilistic community detection with unknown number of communities J Geng, A Bhattacharya, D Pati Journal of the American Statistical Association, 2018 | 82 | 2018 |
On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018 | 82 | 2018 |
Bayesian factorizations of big sparse tensors J Zhou, A Bhattacharya, AH Herring, DB Dunson Journal of the American Statistical Association 110 (512), 1562-1576, 2015 | 80 | 2015 |
Simplex factor models for multivariate unordered categorical data A Bhattacharya, DB Dunson Journal of the American Statistical Association 107 (497), 362-377, 2012 | 75 | 2012 |
Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014 | 73 | 2014 |
Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012 | 63 | 2012 |
Bayesian optimization with adaptive surrogate models for automated experimental design B Lei, TQ Kirk, A Bhattacharya, D Pati, X Qian, R Arroyave, BK Mallick Npj Computational Materials 7 (1), 194, 2021 | 59 | 2021 |
Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017 | 45 | 2017 |
Impaired limbic gamma oscillatory synchrony during anxiety-related behavior in a genetic mouse model of bipolar mania K Dzirasa, DAL McGarity, A Bhattacharya, S Kumar, JS Takahashi, ... Journal of Neuroscience 31 (17), 6449-6456, 2011 | 45 | 2011 |
Tensor decompositions and sparse log-linear models JE Johndrow, A Bhattacharya, DB Dunson Annals of statistics 45 (1), 1, 2017 | 38 | 2017 |
Reexamining the proton-radius problem using constrained Gaussian processes S Zhou, P Giulani, J Piekarewicz, A Bhattacharya, D Pati Physical Review C 99 (5), 055202, 2019 | 37 | 2019 |
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection A Chakraborty, A Bhattacharya, BK Mallick Biometrika 107 (1), 205-221, 2020 | 35 | 2020 |