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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)

SFO: A Toolbox for Submodular Function Optimization JMLR 2010 Short-term memory in neuronal networks through dynamical compressed sensing NeurIPS 2010 Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms AISTATS 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods NeurIPS 2010 Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010 Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range RSS 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010 Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NeurIPS 2010 The Feature Selection Path in Kernel Methods AISTATS 2010 The Group Dantzig Selector AISTATS 2010 The LASSO risk: asymptotic results and real world examples NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 Throttling Poisson Processes NeurIPS 2010 t-logistic regression NeurIPS 2010 Topology Selection in Graphical Models of Autoregressive Processes JMLR 2010 Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs AISTATS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 Accelerated Gradient Methods for Stochastic Optimization and Online Learning NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 Adapting to the Shifting Intent of Search Queries NeurIPS 2009 Adaptive Design Optimization in Experiments with People NeurIPS 2009 Adaptive relative bundle adjustment RSS 2009 A Data-Driven Approach to Modeling Choice NeurIPS 2009