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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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440
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2000
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Papers (including subtopics)

Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024 Multiplex Graph Representation Learning via Bi-level Optimization IJCAI 2024 Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems ICML 2024 Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NeurIPS 2024 Multivariate Analysis and Structural Restrictions in Computational Social Choice IJCAI 2024 Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking NeurIPS 2024 Multi-View Randomized Kernel Classification via Nonconvex Optimization AAAI 2024 Multi-Winner Reconfiguration NeurIPS 2024 Mutli-Armed Bandits with Network Interference NeurIPS 2024 Naive Bayes Classifiers over Missing Data: Decision and Poisoning ICML 2024 Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning ICML 2024 Near-Linear Time Approximation Algorithms for k-means with Outliers ICML 2024 Nearly Equitable Allocations beyond Additivity and Monotonicity AAAI 2024 Nearly Minimax Optimal Regret for Multinomial Logistic Bandit NeurIPS 2024 Nearly Minimax Optimal Submodular Maximization with Bandit Feedback NeurIPS 2024 Nearly Optimal Regret for Decentralized Online Convex Optimization COLT 2024 Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization JMLR 2024 Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024 Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NeurIPS 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024 Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024 Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss ICLR 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NeurIPS 2024