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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
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2000
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Papers (including subtopics)

Target Tracking for Contextual Bandits: Application to Demand Side Management ICML 2019 Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019 Teaching Multiple Concepts to a Forgetful Learner NeurIPS 2019 Tensor Decomposition for Multilayer Networks Clustering AAAI 2019 Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019 Testing Symmetric Markov Chains Without Hitting COLT 2019 The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation CVPR 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019 The Common-directions Method for Regularized Empirical Risk Minimization JMLR 2019 The Complexity of Making the Gradient Small in Stochastic Convex Optimization COLT 2019 The Domain Transform Solver CVPR 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019 The Implicit Metropolis-Hastings Algorithm NeurIPS 2019 The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019 The Landscape of Non-convex Empirical Risk with Degenerate Population Risk NeurIPS 2019 The Parameterized Complexity of Cascading Portfolio Scheduling NeurIPS 2019 The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining AAAI 2019 The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration IJCAI 2019 The Randomized Midpoint Method for Log-Concave Sampling NeurIPS 2019 The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares NeurIPS 2019 The Wasserstein Transform ICML 2019 Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NeurIPS 2019 Thinning for Accelerating the Learning of Point Processes NeurIPS 2019 Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems JMLR 2019