Sotabase

Career

· Chief Technology Officer And Cofounder, LotusPetal.AI2025–2025
· Visiting Researcher, Amazon2022–2025
· AI Consultant, Bain & Company2021–2022
· Visiting Researcher, Microsoft2019–2019
· Associate Professor (with Tenure), Carnegie Mellon University2018–
· Tenured Faculty, Carnegie Mellon University2018–
· Postdoctoral Fellow, University of California, Berkeley2015–2018
· Doctor of Philosophy - PhD, Machine Learning and Statistics, Carnegie Mellon University2010–2015
· Quantitive Analyst, Tower Research Capital2009–2010
· Bachelor of Technology - BTech, Computer Science and Engineering, Indian Institute of Technology, Bombay2005–2009

Publications (273)

Conformal Prediction Under Covariate Shift
Neural Information Processing Systems · 2019
583
cited
On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests
Entropy · 2015
546
cited
Predictive inference with the jackknife+
Annals of Statistics · 2019
378
cited
Conformal prediction beyond exchangeability
Annals of Statistics · 2022
358
cited
The limits of distribution-free conditional predictive inference
Information and Inference A Journal of the IMA · 2019
318
cited
Time-uniform, nonparametric, nonasymptotic confidence sequences
Annals of Statistics · 2018
297
cited
Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses
PLoS ONE · 2014
296
cited
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
International Conference on Learning Representations · 2016
278
cited
Estimating means of bounded random variables by betting
Journal of the Royal Statistical Society Series B: Statistical Methodology · 2020
214
cited
Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods
SIAM Journal on Matrix Analysis and Applications · 2015
204
cited
On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions
AAAI Conference on Artificial Intelligence · 2014
202
cited
Time-uniform Chernoff bounds via nonnegative supermartingales
Probability Surveys · 2018
189
cited
Universal inference
Proceedings of the National Academy of Sciences of the United States of America · 2019
186
cited
Game-theoretic statistics and safe anytime-valid inference
Statistical Science · 2022
172
cited
Fast Two-Sample Testing with Analytic Representations of Probability Measures
Neural Information Processing Systems · 2015
164
cited
Nested conformal prediction and quantile out-of-bag ensemble methods
Pattern Recognition · 2019
139
cited
False discovery rate control with e‐values
Journal of the Royal Statistical Society: Series B (Statistical Methodology) · 2020
134
cited
Fast and Flexible ADMM Algorithms for Trend Filtering
arXiv.org · 2014
129
cited
Admissible anytime-valid sequential inference must rely on nonnegative martingales.
2020
125
cited
Algorithms for Graph Similarity and Subgraph Matching
2011
117
cited
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Aaditya Ramdas | Researcher Profile | Sotabase | Sotabase