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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)

Regret Matching+: (In)Stability and Fast Convergence in Games NeurIPS 2023 Regret Minimization and Convergence to Equilibria in General-sum Markov Games ICML 2023 Regularized online DR-submodular optimization UAI 2023 ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence NeurIPS 2023 Reinforcement Learning for Adaptive Mesh Refinement AISTATS 2023 Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories AAAI 2023 Reinforcement Learning for Joint Optimization of Multiple Rewards JMLR 2023 Reinforcement Learning for Solving Stochastic Vehicle Routing Problem ACML 2023 Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification NeurIPS 2023 ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023 Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD JMLR 2023 Repeated Bilateral Trade Against a Smoothed Adversary COLT 2023 Replicable Clustering NeurIPS 2023 Representation with Incomplete Votes AAAI 2023 Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis NeurIPS 2023 Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets AISTATS 2023 Resource Sharing through Multi-Round Matchings AAAI 2023 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity JMLR 2023 Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption NeurIPS 2023 ReSync: Riemannian Subgradient-based Robust Rotation Synchronization NeurIPS 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023 Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms ICLR 2023 Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization ICML 2023 Retrieval-Augmented Multiple Instance Learning NeurIPS 2023