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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
Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019
Universality in Learning from Linear Measurements NIPS 2019
Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus CVPR 2019
A Variational Pan-Sharpening With Local Gradient Constraints CVPR 2019
An Embedding Framework for Consistent Polyhedral Surrogates NIPS 2019
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019
Non-Convex Matrix Completion and Related Problems via Strong Duality JMLR 2019
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019
Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019
Lazifying Conditional Gradient Algorithms JMLR 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NIPS 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NIPS 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NIPS 2019
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses NIPS 2019
Radial Distortion Triangulation CVPR 2019
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration NIPS 2019
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem AAAI 2019
Lifted Hinge-Loss Markov Random Fields AAAI 2019
Learning Positive Functions with Pseudo Mirror Descent NIPS 2019
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019
Learning (from) Deep Hierarchical Structure among Features AAAI 2019
Minimum Volume Topic Modeling AISTATS 2019