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Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels., , and . J. Mach. Learn. Res., (2010)Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent., , , and . CoRR, (2023)Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions., , and . CoRR, (2023)Topologically penalized regression on manifolds., , , , and . CoRR, (2021)A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization., , and . NeurIPS, (2022)Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity., , , and . J. Mach. Learn. Res., (2022)Zeroth-Order Nonconvex Stochastic Optimization: Handling Constraints, High Dimensionality, and Saddle Points., and . Found. Comput. Math., 22 (1): 35-76 (2022)Stochastic Zeroth-Order Functional Constrained Optimization: Oracle Complexity and Applications., and . INFORMS J. Optim., 5 (3): 256-272 (July 2023)An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias., , , and . CoRR, (2020)Zeroth-order Optimization on Riemannian Manifolds., , and . CoRR, (2020)