stochastic convex optimization

The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NeurIPS 2024 Universal Gradient Methods for Stochastic Convex Optimization ICML 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 A Second-Order Method for Stochastic Bandit Convex Optimisation COLT 2023 Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited UAI 2023 Differentially Private Stochastic Convex Optimization under a Quantile Loss Function ICML 2023 DoG is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule ICML 2023 Exploring Local Norms in Exp-concave Statistical Learning COLT 2023 From Adaptive Query Release to Machine Unlearning ICML 2023 Information Theoretic Lower Bounds for Information Theoretic Upper Bounds NeurIPS 2023 Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization ALT 2023 On User-Level Private Convex Optimization ICML 2023 Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds NeurIPS 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Differentially Private Online-to-batch for Smooth Losses NeurIPS 2022 Faster Rates of Private Stochastic Convex Optimization ALT 2022 Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data ICML 2022 Making SGD Parameter-Free COLT 2022 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022 Private optimization in the interpolation regime: faster rates and hardness results ICML 2022 Private Streaming SCO in ℓ_p geometry with Applications in High Dimensional Online Decision Making ICML 2022 Shuffle Private Stochastic Convex Optimization ICLR 2022 Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NeurIPS 2022 Tight and Robust Private Mean Estimation with Few Users ICML 2022 Adapting to function difficulty and growth conditions in private optimization NeurIPS 2021