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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
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2000
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Papers (including subtopics)

From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection CVPR 2016 Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids CVPR 2016 Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces RSS 2016 Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration JMLR 2016 Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case JMLR 2016 Gaussian quadrature for matrix inverse forms with applications ICML 2016 Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back NeurIPS 2016 GenSVM: A Generalized Multiclass Support Vector Machine JMLR 2016 Geometry-aware stationary subspace analysis ACML 2016 GIFT: A Real-Time and Scalable 3D Shape Search Engine CVPR 2016 Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NeurIPS 2016 Globally Optimal Manhattan Frame Estimation in Real-Time CVPR 2016 Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach CVPR 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 GOGMA: Globally-Optimal Gaussian Mixture Alignment CVPR 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016 Gromov-Wasserstein Averaging of Kernel and Distance Matrices ICML 2016 Guaranteed Outlier Removal With Mixed Integer Linear Programs CVPR 2016 Hardness of Online Sleeping Combinatorial Optimization Problems NeurIPS 2016 Heteroscedastic Sequences: Beyond Gaussianity ICML 2016 Hierarchical Clustering via Spreading Metrics NeurIPS 2016 High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016 Highly-Smooth Zero-th Order Online Optimization COLT 2016 High-Rank Matrix Completion and Clustering under Self-Expressive Models NeurIPS 2016