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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

Faster Differentially Private Convex Optimization via Second-Order Methods NIPS 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification AISTATS 2023
Optimal Sets and Solution Paths of ReLU Networks ICML 2023
Randomized Primal-Dual Methods with Adaptive Step Sizes AISTATS 2023
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023
Top-k data selection via distributed sample quantile inference L4DC 2023
Learning the Efficient Frontier NIPS 2023
A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NIPS 2023
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method NIPS 2023
Dataset Distillation with Convexified Implicit Gradients ICML 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ICML 2023
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NIPS 2023
Memory-Constrained Algorithms for Convex Optimization NIPS 2023
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence NIPS 2023
Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023
Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs 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
Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract) IJCAI 2023
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework ICML 2023
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing AAAI 2023
Levin Tree Search with Context Models IJCAI 2023
Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023