| The horseshoe+ estimator of ultra-sparse signals A Bhadra, J Datta, NG Polson, B Willard Bayesian Analysis 12 (4), 1105-1131, 2017 | 192 | 2017 |
| Lasso meets horseshoe A Bhadra, J Datta, NG Polson, B Willard Statistical Science 34 (3), 405-427, 2019 | 163 | 2019 |
| Proximal Algorithms in Statistics and Machine Learning NG Polson, JG Scott, BT Willard Statistical Science 30 (4), 559-581, 2015 | 154 | 2015 |
| Default Bayesian analysis with global-local shrinkage priors A Bhadra, J Datta, NG Polson, B Willard Biometrika 103 (4), 955-969, 2016 | 59 | 2016 |
| The horseshoe-like regularization for feature subset selection A Bhadra, J Datta, NG Polson, BT Willard Sankhya B 83 (1), 185-214, 2021 | 34 | 2021 |
| Prediction risk for the horseshoe regression A Bhadra, J Datta, Y Li, NG Polson, B Willard Journal of Machine Learning Research 20 (78), 1-39, 2019 | 18 | 2019 |
| Efficient Guided Generation for Large Language Models BT Willard, R Louf arXiv e-prints, arXiv: 2307.09702, 2023 | 15* | 2023 |
| A Statistical Theory of Deep Learning via Proximal Splitting NG Polson, BT Willard, M Heidari arXiv preprint arXiv:1509.06061, 2015 | 6 | 2015 |
| Prediction risk for global-local shrinkage regression A Bhadra, J Datta, Y Li, NG Polson, BT Willard arXiv preprint arXiv:1605.04796, 2016 | 4 | 2016 |
| Global-Local Mixtures A Bhadra, J Datta, NG Polson, BT Willard arXiv preprint arXiv:1604.07487, 2016 | 4 | 2016 |
| Computation of NRQCD Parameters in Potential Models BT Willard http://www.lns.cornell.edu/public/reu/2004reports/willard.pdf, 2004 | 3 | 2004 |
| Global-local mixtures: A unifying framework A Bhadra, J Datta, NG Polson, BT Willard Sankhya A 82, 426-447, 2020 | 1 | 2020 |
| miniKanren as a Tool for Symbolic Computation in Python BT Willard arXiv preprint arXiv:2005.11644, 2020 | 1 | 2020 |
| ROS Regression: Integrating Regularization with Optimal Scaling Regression.................... Jacqueline J. Meulman, Anita J. van der Kooij and Kevin LW Duisters 361 An … A Bhadra, J Datta, NG Polson, B Willard, AL Smith, DM Asta, CA Calder, ... Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)] 34 (3), 2019 | | 2019 |
| Random Variables in Theano BT Willard https://brandonwillard.github.io/random-variables-in-theano.html, 2018 | | 2018 |
| Readable Strings and Relational Programming in Hy BT Willard https://brandonwillard.github.io/readable-strings-and-relational-programming …, 2018 | | 2018 |
| Symbolic Math in PyMC3 BT Willard https://brandonwillard.github.io/symbolic-math-in-pymc3.html, 2018 | | 2018 |
| More Proximal Estimation BT Willard https://brandonwillard.github.io/more-proximal-estimation.html, 2017 | | 2017 |
| A Role for Symbolic Computation in the General Estimation of Statistical Models BT Willard https://brandonwillard.github.io/a-role-for-symbolic-computation-in-the …, 2017 | | 2017 |
| Regarding Statistical Model Specification and Sample Results BT Willard https://brandonwillard.github.io/regarding-statistical-model-specification …, 2016 | | 2016 |
Nick PolsonProfessor of Econometrics and Statistics, University of ChicagoVerified email at chicagobooth.edu
