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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)

Constrained Market Share Maximization by Signal-Guided Optimization AAAI 2023 Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023 Constrained Phi-Equilibria ICML 2023 Constrained Submodular Optimization for Vaccine Design AAAI 2023 Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells ICCV 2023 Constraint Optimization over Semirings AAAI 2023 Constraints First: A New MDD-based Model to Generate Sentences Under Constraints IJCAI 2023 Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem (Extended Abstract) IJCAI 2023 Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars NeurIPS 2023 Constructive TT-representation of the tensors given as index interaction functions with applications ICLR 2023 Content Sharing Design for Social Welfare in Networked Disclosure Game UAI 2023 Context-lumpable stochastic bandits NeurIPS 2023 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression COLT 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023 Contextual Conservative Interleaving Bandits ICML 2023 Contextual Gaussian Process Bandits with Neural Networks NeurIPS 2023 Continuation Path Learning for Homotopy Optimization ICML 2023 Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization ICLR 2023 Continuous-time Analysis of Anchor Acceleration NeurIPS 2023 Controlled Differential Equations on Long Sequences via Non-standard Wavelets ICML 2023 Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023 Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels NeurIPS 2023 Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023 Convergence of Alternating Gradient Descent for Matrix Factorization NeurIPS 2023 Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023