conftrace_

stochastic convex optimization

69 papers

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Also known as

SCO

Co-occurring keywords

differential privacy (1016) sample complexity (1169) gradient descent (1144) convex optimization (1321) stochastic optimization (1060) empirical risk minimization (352) stochastic gradient descent (1091) user-level privacy (17) mirror descent (148) convergence rate (607)

Papers

Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NIPS 2022
Differentially Private Online-to-batch for Smooth Losses NIPS 2022
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data ICML 2022
Tight and Robust Private Mean Estimation with Few Users ICML 2022
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making ICML 2022
Faster Rates of Private Stochastic Convex Optimization ALT 2022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022
Private Non-smooth ERM and SCO in Subquadratic Steps NIPS 2021
From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs NIPS 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry ICML 2021
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021
Learning with User-Level Privacy NIPS 2021
Never Go Full Batch (in Stochastic Convex Optimization) NIPS 2021
Adapting to function difficulty and growth conditions in private optimization NIPS 2021
Optimal Query Complexity of Secure Stochastic Convex Optimization NIPS 2020
Minibatch Stochastic Approximate Proximal Point Methods NIPS 2020
Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep Learning UAI 2020
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints JMLR 2020
High probability guarantees for stochastic convex optimization COLT 2020
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NIPS 2020
Anytime Online-to-Batch, Optimism and Acceleration ICML 2019
Private Stochastic Convex Optimization with Optimal Rates NIPS 2019