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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)

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings AAAI 2024 Automatically Learning Hybrid Digital Twins of Dynamical Systems NeurIPS 2024 Automatic Outlier Rectification via Optimal Transport NeurIPS 2024 Automatic Partitioning of a Code-Switched Speech Corpus Using Mixed-Integer Programming COLING 2024 AutoSketch: Automatic Sketch-Oriented Compiler for Query-driven Network Telemetry NSDI 2024 Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024 Backward Responsibility in Transition Systems Using General Power Indices AAAI 2024 Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise ICML 2024 Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs NeurIPS 2024 Bandit Pareto Set Identification: the Fixed Budget Setting AISTATS 2024 Bandits with Ranking Feedback NeurIPS 2024 Barely Random Algorithms and Collective Metrical Task Systems NeurIPS 2024 Barrier Algorithms for Constrained Non-Convex Optimization ICML 2024 B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data NeurIPS 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024 Bayesian Optimization of Function Networks with Partial Evaluations ICML 2024 Bayesian Optimization of Functions over Node Subsets in Graphs NeurIPS 2024 Bayesian Regret Minimization in Offline Bandits ICML 2024 Beating Price of Anarchy and Gradient Descent without Regret in Potential Games ICLR 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NeurIPS 2024 Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024 Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization ICML 2024 Better Locally Private Sparse Estimation Given Multiple Samples Per User ICML 2024