Sotabase

Career

· Associate Professor, MIT CSAIL2025–
· Associate Professor, MIT2014–
· Researcher, MIT Computer Architecture Group
· Associate Professor, MIT EECS
· Faculty Member, MIT IDSS

Publications (99)

Transparency and reproducibility in artificial intelligence
Nature · 2020
382
cited
Streaming Variational Bayes
Neural Information Processing Systems · 2013
360
cited
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
International Conference on Learning Representations · 2022
307
cited
Coresets for Scalable Bayesian Logistic Regression
Neural Information Processing Systems · 2016
227
cited
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
International Conference on Machine Learning · 2018
144
cited
Automated Scalable Bayesian Inference via Hilbert Coresets
Journal of machine learning research · 2017
134
cited
Covariances, Robustness, and Variational Bayes
Journal of machine learning research · 2017
123
cited
A Swiss Army Infinitesimal Jackknife
International Conference on Artificial Intelligence and Statistics · 2018
113
cited
Ellipticity of dark matter haloes with galaxy–galaxy weak lensing
2005
109
cited
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
International Conference on Machine Learning · 2012
96
cited
Beta Processes, Stick-Breaking and Power Laws
2011
95
cited
Faster solutions of the inverse pairwise Ising problem
2007
92
cited
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes
Neural Information Processing Systems · 2015
86
cited
Boosting Variational Inference
arXiv.org · 2016
77
cited
Feature allocations, probability functions, and paintboxes
2013
77
cited
Combinatorial Clustering and the Beta Negative Binomial Process
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2011
74
cited
Edge-exchangeable graphs and sparsity (NIPS 2016)
2016
50
cited
Real-Time Semiparametric Regression
2012
50
cited
Cluster and Feature Modeling from Combinatorial Stochastic Processes
2012
45
cited
An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?
2020
43
cited
Sotabase