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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)

A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding NeurIPS 2020 A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020 A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling NeurIPS 2020 A Game Theoretic Approach For Core Resilience IJCAI 2020 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 A General Approach to Fairness with Optimal Transport AAAI 2020 A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing AAAI 2020 A General Large Neighborhood Search Framework for Solving Integer Linear Programs NeurIPS 2020 A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020 Agnostic Estimation for Phase Retrieval JMLR 2020 A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020 A Greedy Anytime Algorithm for Sparse PCA COLT 2020 A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020 AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity NeurIPS 2020 A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control L4DC 2020 A kernel test for quasi-independence NeurIPS 2020 A Learning-based Iterative Method for Solving Vehicle Routing Problems ICLR 2020 ALGAMES: A Fast Solver for Constrained Dynamic Games RSS 2020 Algorithms for Manipulating Sequential Allocation AAAI 2020 All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020 All-Pay Bidding Games on Graphs AAAI 2020 Almost Group Envy-free Allocation of Indivisible Goods and Chores IJCAI 2020 A Locally Adaptive Bayesian Cubature Method AISTATS 2020 A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints JMLR 2020