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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)

A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization ICML 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton AAAI 2024 A Framework for Bilevel Optimization on Riemannian Manifolds NeurIPS 2024 A Framework for Data-Driven Explainability in Mathematical Optimization AAAI 2024 A General Algorithm for Solving Rank-one Matrix Sensing AISTATS 2024 A General Framework for User-Guided Bayesian Optimization ICLR 2024 A Generalized Neural Diffusion Framework on Graphs AAAI 2024 A General Online Algorithm for Optimizing Complex Performance Metrics ICML 2024 A Generic and Flexible Regularization Framework for NeRFs WACV 2024 A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights ICML 2024 A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024 A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NeurIPS 2024 Agnostic Sample Compression Schemes for Regression ICML 2024 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 A Homogenization Approach for Gradient-Dominated Stochastic Optimization UAI 2024 Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024 Alias-Free Mamba Neural Operator NeurIPS 2024 Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem NeurIPS 2024 Aligning Individual and Collective Objectives in Multi-Agent Cooperation NeurIPS 2024 Aligning Large Language Models with Representation Editing: A Control Perspective NeurIPS 2024 Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics COLING 2024 Allocating Mixed Goods with Customized Fairness and Indivisibility Ratio IJCAI 2024 Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements AAAI 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024