The Star Geometry of Critic-Based Regularizer LearningNeural Information Processing Systems (NeurIPS), 2024 |
On the Variance, Admissibility, and Stability of Empirical Risk MinimizationNeural Information Processing Systems (NeurIPS), 2023 |
Convex and Nonconvex Sublinear Regression with Application to
Data-driven Learning of Reach SetsAmerican Control Conference (ACC), 2022 |
Spectrahedral RegressionSIAM Journal on Optimization (SIAM J. Optim.), 2021 |
On the Minimal Error of Empirical Risk MinimizationAnnual Conference Computational Learning Theory (COLT), 2021 |
Suboptimality of Constrained Least Squares and Improvements via
Non-Linear PredictorsBernoulli (Bernoulli), 2020 |
Convex Regression in Multidimensions: Suboptimality of Least Squares
EstimatorsAnnals of Statistics (Ann. Stat.), 2020 |