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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)

The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose CVPR 2015 Thin Structure Estimation With Curvature Regularization ICCV 2015 Threshold Influence Model for Allocating Advertising Budgets ICML 2015 Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits AISTATS 2015 Time-Sensitive Recommendation From Recurrent User Activities NeurIPS 2015 Total Variation Regularization of Shape Signals CVPR 2015 Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing ICML 2015 Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains ICML 2015 Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number NeurIPS 2015 Transport-Based Single Frame Super Resolution of Very Low Resolution Face Images CVPR 2015 Trend Filtering on Graphs AISTATS 2015 Two-stage sampled learning theory on distributions AISTATS 2015 Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery JMLR 2015 Unified View of Matrix Completion under General Structural Constraints NeurIPS 2015 Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization ICML 2015 Variance Reduced Stochastic Gradient Descent with Neighbors NeurIPS 2015 Variance Reduction via Antithetic Markov Chains AISTATS 2015 Variational Consensus Monte Carlo NeurIPS 2015 WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015 Weakly-Supervised Alignment of Video With Text ICCV 2015 Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization NeurIPS 2015 Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints ICCV 2015 3D Shape and Indirect Appearance by Structured Light Transport CVPR 2014 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 A Boosting Framework on Grounds of Online Learning NeurIPS 2014