optimal rate

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025 Flow matching achieves almost minimax optimal convergence ICLR 2025 Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024 Accelerating Value Iteration with Anchoring NeurIPS 2023 On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Optimal Rates for Regularized Conditional Mean Embedding Learning NeurIPS 2022 A/B/n Testing with Control in the Presence of Subpopulations NeurIPS 2021 Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021 Finite Sample System Identification: Optimal Rates and the Role of Regularization L4DC 2020 Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019 Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NeurIPS 2019 Near Optimal Methods for Minimizing Convex Functions with Lipschitz p-th Derivatives COLT 2019 UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NeurIPS 2019 Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces ICML 2018 Scalable Hash-Based Estimation of Divergence Measures AISTATS 2018 High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017 Lower Bounds and Aggregation in Density Estimation JMLR 2006