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Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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16
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2000
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Papers (including subtopics)

Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014 T-Linkage: A Continuous Relaxation of J-Linkage for Multi-Model Fitting CVPR 2014 Total Variation Blind Deconvolution: The Devil is in the Details CVPR 2014 Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium CVPR 2014 Towards an optimal stochastic alternating direction method of multipliers ICML 2014 Towards building a Crowd-Sourced Sky Map AISTATS 2014 Towards Minimax Online Learning with Unknown Time Horizon ICML 2014 Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014 Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI CVPR 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014 Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms ICML 2014 Universal Matrix Completion ICML 2014 Unsupervised Trajectory Modelling using Temporal Information via Minimal Paths CVPR 2014 Very Fast Solution to the PnP Problem with Algebraic Outlier Rejection CVPR 2014 Video Classification using Semantic Concept Co-occurrences CVPR 2014 Weakly-supervised Discovery of Visual Pattern Configurations NeurIPS 2014 Weighted Graph Clustering with Non-Uniform Uncertainties ICML 2014 Weighted Nuclear Norm Minimization with Application to Image Denoising CVPR 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013 Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NeurIPS 2013 Achievability of Asymptotic Minimax Regret in Online and Batch Prediction ACML 2013