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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)

Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 Optimization Problems for Fast AAM Fitting in-the-Wild ICCV 2013 Optimization with First-Order Surrogate Functions ICML 2013 Optimized Pedestrian Detection for Multiple and Occluded People CVPR 2013 Partial Enumeration and Curvature Regularization ICCV 2013 Passive Learning with Target Risk COLT 2013 Permutation estimation and minimax rates of identifiability AISTATS 2013 Phase Retrieval using Alternating Minimization NeurIPS 2013 PM-Huber: PatchMatch with Huber Regularization for Stereo Matching ICCV 2013 Polar Operators for Structured Sparse Estimation NeurIPS 2013 Polynomial Time Optimal Query Algorithms for Finding Graphs with Arbitrary Real Weights COLT 2013 Potts Model, Parametric Maxflow and K-Submodular Functions ICCV 2013 Prediction by random-walk perturbation COLT 2013 Prime Object Proposals with Randomized Prim's Algorithm ICCV 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Provable Subspace Clustering: When LRR meets SSC NeurIPS 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 Quantile Regression for Large-scale Applications ICML 2013 Quasi-Newton Method: A New Direction JMLR 2013 Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013 Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections JMLR 2013 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Reconstructing Gas Flows Using Light-Path Approximation CVPR 2013 Reconstructing Loopy Curvilinear Structures Using Integer Programming CVPR 2013