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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)

Scaling the Indian Buffet Process via Submodular Maximization ICML 2013 Semi-Supervised Learning Using Greedy Max-Cut JMLR 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition ICCV 2013 Shape from Silhouette Probability Maps: Reconstruction of Thin Objects in the Presence of Silhouette Extraction and Calibration Error CVPR 2013 Sharp analysis of low-rank kernel matrix approximations COLT 2013 Shortest Paths with Curvature and Torsion ICCV 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NeurIPS 2013 Simultaneous Super-Resolution of Depth and Images Using a Single Camera CVPR 2013 Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal ICCV 2013 Sinkhorn Distances: Lightspeed Computation of Optimal Transport NeurIPS 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Sparse Matrix Inversion with Scaled Lasso JMLR 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Sparse projections onto the simplex ICML 2013 Spectral Compressed Sensing via Structured Matrix Completion ICML 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NeurIPS 2013 Stochastic Convex Optimization with Multiple Objectives NeurIPS 2013 Stochastic Deconvolution CVPR 2013