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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)

Structure Learning for Optimization NeurIPS 2011 Submodular Multi-Label Learning NeurIPS 2011 Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Trace Lasso: a trace norm regularization for correlated designs NeurIPS 2011 Universal low-rank matrix recovery from Pauli measurements NeurIPS 2011 Variable Sparsity Kernel Learning JMLR 2011 Variance Penalizing AdaBoost NeurIPS 2011 Variance Reduction in Monte-Carlo Tree Search NeurIPS 2011 Accounting for network effects in neuronal responses using L1 regularized point process models NeurIPS 2010 Active Instance Sampling via Matrix Partition NeurIPS 2010 A Dirty Model for Multi-task Learning NeurIPS 2010 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 A Fast Traversal Heuristic and Optimal Algorithm for Effective Environmental Coverage RSS 2010 A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010 Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010 An Approximate Inference Approach to Temporal Optimization in Optimal Control NeurIPS 2010 An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA NeurIPS 2010 A Potential-based Framework for Online Multi-class Learning with Partial Feedback AISTATS 2010 Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010 Approximation of hidden Markov models by mixtures of experts with application to particle filtering AISTATS 2010 A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NeurIPS 2010 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NeurIPS 2010