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Convex Optimization

589 directly classified papers

Papers per year

Papers

Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms NIPS 2018
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates NIPS 2018
A convex program for bilinear inversion of sparse vectors NIPS 2018
The Physical Systems Behind Optimization Algorithms NIPS 2018
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks NIPS 2018
Smoothed analysis of the low-rank approach for smooth semidefinite programs NIPS 2018
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms NIPS 2018
Randomized Block Cubic Newton Method ICML 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity ICML 2018
Online Adaptive Methods, Universality and Acceleration NIPS 2018
Geometric Multi-Model Fitting With a Convex Relaxation Algorithm CVPR 2018
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression IJCAI 2018
Multi-Scale Weighted Nuclear Norm Image Restoration CVPR 2018
Blind Deconvolutional Phase Retrieval via Convex Programming NIPS 2018
Acceleration through Optimistic No-Regret Dynamics NIPS 2018
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NIPS 2017
SnapVX: A Network-Based Convex Optimization Solver JMLR 2017
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NIPS 2017
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NIPS 2017
Adaptive Clustering through Semidefinite Programming NIPS 2017
Convex Global 3D Registration With Lagrangian Duality CVPR 2017
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NIPS 2017
Truncated Max-Of-Convex Models CVPR 2017
Designing Illuminant Spectral Power Distributions for Surface Classification CVPR 2017
FFTLasso: Large-Scale LASSO in the Fourier Domain CVPR 2017