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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)

Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem COLT 2021 General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NeurIPS 2021 Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming NAACL 2021 Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021 Gene Regulatory Network Inference as Relaxed Graph Matching AAAI 2021 Geometric convergence of elliptical slice sampling ICML 2021 Geometric rates of convergence for kernel-based sampling algorithms UAI 2021 GIBBON: General-purpose Information-Based Bayesian Optimisation JMLR 2021 Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit JMLR 2021 Global Convergence of Online Optimization for Nonlinear Model Predictive Control NeurIPS 2021 Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021 Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games NeurIPS 2021 Globally Optimal Relative Pose Estimation With Gravity Prior CVPR 2021 Global Transport for Fluid Reconstruction With Learned Self-Supervision CVPR 2021 GLSearch: Maximum Common Subgraph Detection via Learning to Search ICML 2021 GO Hessian for Expectation-Based Objectives AAAI 2021 GOT: Testing for Originality in Natural Language Generation ACL 2021 Gradient-based optimization for multi-resource spatial coverage problems UAI 2021 Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization AAAI 2021 Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch) ICML 2021 Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints IJCAI 2021 Graphical Cake Cutting via Maximin Share IJCAI 2021 Graphical Models in Heavy-Tailed Markets NeurIPS 2021 Graph Learning for Inverse Landscape Genetics AAAI 2021 Graph Matching with Partially-Correct Seeds JMLR 2021