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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)

An Automata-Theoretic Approach to the Vehicle Routing Problem RSS 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 An LP for Sequential Learning Under Budgets AISTATS 2014 An Online Sparsity-Cognizant Loop-Closure Algorithm for Visual Navigation RSS 2014 A Novel M-Estimator for Robust PCA JMLR 2014 Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow ICML 2014 Approachability in unknown games: Online learning meets multi-objective optimization COLT 2014 Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014 Approximating Hierarchical MV-sets for Hierarchical Clustering NeurIPS 2014 Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process ICML 2014 A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields CVPR 2014 A Principled Approach for Coarse-to-Fine MAP Inference CVPR 2014 A Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform CVPR 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 A* Sampling NeurIPS 2014 A second-order bound with excess losses COLT 2014 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 A statistical model for tensor PCA NeurIPS 2014 A Statistical Perspective on Algorithmic Leveraging ICML 2014 A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014 Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NeurIPS 2014 Asynchronous Distributed ADMM for Consensus Optimization ICML 2014 A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014 Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NeurIPS 2014