Sotabase

Career

· Adjunct Professor, Columbia University2025–2025
· Assistant Professor, Columbia University2025–
· Postdoctoral Scientist, Microsoft Research NYC2024–2025
· Research Intern, Microsoft Research NYC2023–
· Applied Science Intern, Amazon Science2021–2021
· PhD in Mathematics and Statistics, MIT2019–2024
· BA in Mathematics (Summa cum Laude), Columbia University2015–2019
· Research Assistant (Math), Columbia University2015–2019
· Research Assistant, University of Illinois at Chicago2014–2015

Publications (41)

Generative Modeling with Denoising Auto-Encoders and Langevin Sampling
arXiv.org · 2020
122
cited
Smoothed Online Learning is as Easy as Statistical Learning
Annual Conference Computational Learning Theory · 2022
54
cited
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior
Neural Information Processing Systems · 2023
37
cited
Intrinsic Dimension Estimation Using Wasserstein Distance
Journal of machine learning research · 2021
26
cited
Intrinsic Dimension Estimation
arXiv.org · 2021
19
cited
Efficient Model-Free Exploration in Low-Rank MDPs
Neural Information Processing Systems · 2023
17
cited
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis
arXiv.org · 2020
17
cited
Majorizing Measures, Sequential Complexities, and Online Learning
Annual Conference Computational Learning Theory · 2021
15
cited
Smoothed Online Learning for Prediction in Piecewise Affine Systems
Neural Information Processing Systems · 2023
13
cited
Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
Neural Information Processing Systems · 2022
12
cited
The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning
Annual Conference Computational Learning Theory · 2023
10
cited
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2022
9
cited
Rate of convergence of the smoothed empirical Wasserstein distance
arXiv.org · 2022
9
cited
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making
Annual Conference Computational Learning Theory · 2023
5
cited
Intersection Theory in Algebraic Geometry and Applications : An Introductory Series
2018
1
cited
The Skolem-Mahler-Lech Theorem
2018
1
cited
A New Estimator of Intrinsic Dimension
2021
Barred-Spiral Galaxy NGC 2146
2003
Basic Theory of Finite Group Representations over C
2018
Black Eye Galaxy, M64
2004
Sotabase
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