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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
1,353
1,441
2000
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Papers (including subtopics)

Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe AISTATS 2022 Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022 Fast Instrument Learning with Faster Rates NeurIPS 2022 Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games AAAI 2022 Fast Rank-1 NMF for Missing Data with KL Divergence AISTATS 2022 Fast Regression for Structured Inputs ICLR 2022 Fast Sparse Classification for Generalized Linear and Additive Models AISTATS 2022 Fast Stagewise Sparse Factor Regression JMLR 2022 Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization NeurIPS 2022 Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 Federated Learning with Partial Model Personalization ICML 2022 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022 FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022 FedNL: Making Newton-Type Methods Applicable to Federated Learning ICML 2022 FedPop: A Bayesian Approach for Personalised Federated Learning NeurIPS 2022 Fenrir: Physics-Enhanced Regression for Initial Value Problems ICML 2022 (f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics JMLR 2022 fGOT: Graph Distances Based on Filters and Optimal Transport AAAI 2022 Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health AAAI 2022 Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework AAAI 2022 Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach NeurIPS 2022 Finding Good Configurations of Planar Primitives in Unorganized Point Clouds CVPR 2022 Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics AAAI 2022