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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)

GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming ICML 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency CVPR 2023 Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract) IJCAI 2023 Gradient Descent Converges Linearly for Logistic Regression on Separable Data ICML 2023 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023 Gradient-Variation Bound for Online Convex Optimization with Constraints AAAI 2023 GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints NeurIPS 2023 Graph-Aided Online Multi-Kernel Learning JMLR 2023 Graph Attention Retrospective JMLR 2023 Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems ICLR 2023 Graph Convolutional Kernel Machine versus Graph Convolutional Networks NeurIPS 2023 Greed is good: correspondence recovery for unlabeled linear regression UAI 2023 Greedy Poisson Rejection Sampling NeurIPS 2023 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 Group Fairness in Set Packing Problems IJCAI 2023 Group SLOPE Penalized Low-Rank Tensor Regression JMLR 2023 Group Sparse Optimal Transport for Sparse Process Flexibility Design IJCAI 2023 Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport ACL 2023 Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products NeurIPS 2023 Harmonic Neural Networks ICML 2023 Heavy-tailed linear bandit with Huber regression UAI 2023 Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023 HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023 Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities IJCAI 2023 Heuristic Search for Multi-Objective Probabilistic Planning AAAI 2023