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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)

Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013 Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013 Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings ICML 2013 Structured Learning of Sum-of-Submodular Higher Order Energy Functions ICCV 2013 Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints NeurIPS 2013 Submodular Salient Region Detection CVPR 2013 Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing ICML 2013 Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013 Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013 Supervised Semantic Gradient Extraction Using Linear-Time Optimization CVPR 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013 Temporal Difference Methods for the Variance of the Reward To Go ICML 2013 The CAM Software for Nonnegative Blind Source Separation in R-Java JMLR 2013 The Cross-Entropy Method Optimizes for Quantiles ICML 2013 The Episolar Constraint: Monocular Shape from Shadow Correspondence CVPR 2013 The Fast Convergence of Incremental PCA NeurIPS 2013 The Influence of Motion Path and Assembly Sequence on Stability of Assemblies RSS 2013 The Pareto Regret Frontier NeurIPS 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 The Variational Structure of Disparity and Regularization of 4D Light Fields CVPR 2013