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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
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2000
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Papers (including subtopics)

Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NeurIPS 2017 Improving the Expected Improvement Algorithm NeurIPS 2017 Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms ICML 2017 Inference in Graphical Models via Semidefinite Programming Hierarchies NeurIPS 2017 Influence Maximization with ε-Almost Submodular Threshold Functions NeurIPS 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017 Initialization and Coordinate Optimization for Multi-way Matching AISTATS 2017 Innovation Pursuit: A New Approach to the Subspace Clustering Problem ICML 2017 Integer Linear Programming formulations in Natural Language Processing EACL 2017 Integration Methods and Optimization Algorithms NeurIPS 2017 Interactive Submodular Bandit NeurIPS 2017 Inverse Covariance Estimation with Structured Groups IJCAI 2017 Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? NeurIPS 2017 Job Selection in a Network of Autonomous UAVs for Delivery of Goods RSS 2017 Joint distribution optimal transportation for domain adaptation NeurIPS 2017 Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications CVPR 2017 Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017 Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback ACL 2017 Kernel Partial Least Squares for Stationary Data JMLR 2017 k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms NeurIPS 2017 Large-Scale Data-Dependent Kernel Approximation AISTATS 2017 Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences NeurIPS 2017 Lazifying Conditional Gradient Algorithms ICML 2017 Lazy-Grounding for Answer Set Programs with External Source Access IJCAI 2017 Learned D-AMP: Principled Neural Network based Compressive Image Recovery NeurIPS 2017