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convex optimization

1320 papers

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Also known as

ACO ADMM CO OCO

Co-occurring keywords

stochastic optimization (1060) convergence rate (606) stochastic gradient descent (1088) gradient descent (1143) online learning (1770) support vector machine (976) matrix completion (356) regret bound (1918) kernel methods (1096) sparse optimization (246)

Papers

Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets RSS 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023
Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations NIPS 2023
Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance NIPS 2023
Faster Differentially Private Convex Optimization via Second-Order Methods NIPS 2023
Learning the Efficient Frontier NIPS 2023
A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NIPS 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation JMLR 2023
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence NIPS 2023
Memory-Constrained Algorithms for Convex Optimization NIPS 2023
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method NIPS 2023
Inference for probabilistic dependency graphs UAI 2023
Linearization Algorithms for Fully Composite Optimization COLT 2023
Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes AISTATS 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NIPS 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions NIPS 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy NIPS 2023
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback NIPS 2022
Robust Graph-Based Multi-View Clustering AAAI 2022
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence AAAI 2022
First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees ICML 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization ICML 2022
Optimal Anonymous Independent Reward Scheme Design IJCAI 2022