Sotabase

Career

· Assistant Professor, Georgia Tech2021–
· Ph.D. in Electrical Engineering and Computer Science, UC Berkeley2021–

Publications (64)

Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
International Conference on Artificial Intelligence and Statistics · 2018
220
cited
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
International Conference on Artificial Intelligence and Statistics · 2017
145
cited
Linear Regression With Shuffled Data: Statistical and Computational Limits of Permutation Recovery
IEEE Transactions on Information Theory · 2018
109
cited
Denoising linear models with permuted data
International Symposium on Information Theory · 2017
75
cited
Existence of Stein Kernels under a Spectral Gap, and Discrepancy Bound
Annales De L Institut Henri Poincare-probabilites Et Statistiques · 2017
74
cited
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis
SIAM Journal on Mathematics of Data Science · 2020
52
cited
Linear regression with an unknown permutation: Statistical and computational limits
Allerton Conference on Communication, Control, and Computing · 2016
48
cited
Instance-Dependent ℓ∞-Bounds for Policy Evaluation in Tabular Reinforcement Learning
IEEE Transactions on Information Theory · 2021
39
cited
Optimally Approximating the Coverage Lifetime of Wireless Sensor Networks
IEEE/ACM Transactions on Networking · 2013
39
cited
Isotonic regression with unknown permutations: Statistics, computation, and adaptation
Annals of Statistics · 2020
30
cited
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
Annual Conference Computational Learning Theory · 2021
30
cited
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
arXiv.org · 2019
27
cited
A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors
International Symposium on Information Theory · 2019
26
cited
Quantitative Stability of the Entropy Power Inequality
IEEE Transactions on Information Theory · 2018
24
cited
Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons
arXiv.org · 2017
22
cited
Max-Affine Regression: Parameter Estimation for Gaussian Designs
IEEE Transactions on Information Theory · 2022
18
cited
Sharp global convergence guarantees for iterative nonconvex optimization with random data
Annals of Statistics · 2023
17
cited
Accelerated and instance-optimal policy evaluation with linear function approximation
SIAM Journal on Mathematics of Data Science · 2021
16
cited
Optimal oracle inequalities for solving projected fixed-point equations
arXiv.org · 2020
15
cited
The online disjoint set cover problem and its applications
IEEE Conference on Computer Communications · 2014
15
cited
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Ashwin Pananjady | Researcher Profile | Sotabase | Sotabase