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Convex Optimization

589 directly classified papers

Papers per year

Papers

A unified variance-reduced accelerated gradient method for convex optimization NIPS 2019
Stochastic Frank-Wolfe for Composite Convex Minimization NIPS 2019
Hamiltonian descent for composite objectives NIPS 2019
Fast Decomposable Submodular Function Minimization using Constrained Total Variation NIPS 2019
Universality in Learning from Linear Measurements NIPS 2019
Outlier Detection and Robust PCA Using a Convex Measure of Innovation NIPS 2019
Primal-Dual Block Generalized Frank-Wolfe NIPS 2019
Online Convex Matrix Factorization with Representative Regions NIPS 2019
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization ICML 2018
Learning convex bounds for linear quadratic control policy synthesis NIPS 2018
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives NIPS 2018
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018
Efficient First-Order Algorithms for Adaptive Signal Denoising ICML 2018
Adaptive Three Operator Splitting ICML 2018
Provable Estimation of the Number of Blocks in Block Models AISTATS 2018
A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem CVPR 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization NIPS 2018
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018
Distributing Frank-Wolfe via Map-Reduce IJCAI 2018
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes IJCAI 2018
Saturating Splines and Feature Selection JMLR 2018
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice JMLR 2018
Provable Variational Inference for Constrained Log-Submodular Models NIPS 2018