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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
133
440
1,353
1,441
2000
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Papers (including subtopics)

Accelerated Mini-batch Randomized Block Coordinate Descent Method NeurIPS 2014 Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014 Accelerated Stochastic Gradient Method for Composite Regularization AISTATS 2014 A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014 A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014 A Convex Relaxation of the Ambrosio--Tortorelli Elliptic Functionals for the Mumford-Shah Functional CVPR 2014 Active Flattening of Curved Document Images via Two Structured Beams CVPR 2014 Active Learning and Best-Response Dynamics NeurIPS 2014 Adaptive Partial Differential Equation Learning for Visual Saliency Detection CVPR 2014 Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm ICML 2014 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NeurIPS 2014 A Divide-and-Conquer Solver for Kernel Support Vector Machines ICML 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 A Dual Algorithm for Olfactory Computation in the Locust Brain NeurIPS 2014 Advances in Learning Bayesian Networks of Bounded Treewidth NeurIPS 2014 A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization ACML 2014 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 A Geometric Algorithm for Scalable Multiple Kernel Learning AISTATS 2014 A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014 A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014 Alternating Linearization for Structured Regularization Problems JMLR 2014 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization ICML 2014 An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014 An Asynchronous Parallel Stochastic Coordinate Descent Algorithm ICML 2014