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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

Online Learning of Quantum States NIPS 2018
Acceleration through Optimistic No-Regret Dynamics NIPS 2018
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives NIPS 2018
ASVRG: Accelerated Proximal SVRG ACML 2018
Provable Variational Inference for Constrained Log-Submodular Models NIPS 2018
Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach NIPS 2018
Convex Elicitation of Continuous Properties NIPS 2018
Generalizing Graph Matching beyond Quadratic Assignment Model NIPS 2018
Blind Deconvolutional Phase Retrieval via Convex Programming NIPS 2018
A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem CVPR 2018
SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms CVPR 2018
Quadratic Decomposable Submodular Function Minimization NIPS 2018
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities NIPS 2018
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NIPS 2018
Scalable Laplacian K-modes NIPS 2018
Direct Runge-Kutta Discretization Achieves Acceleration NIPS 2018
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NIPS 2018
Byzantine Stochastic Gradient Descent NIPS 2018
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms NIPS 2018
Learning convex bounds for linear quadratic control policy synthesis NIPS 2018
Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018
Gradient Hard Thresholding Pursuit JMLR 2018
From Predictive Methods to Missing Data Imputation: An Optimization Approach JMLR 2018
Saturating Splines and Feature Selection JMLR 2018
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018