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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)

Parameterized Complexity of Kidney Exchange Revisited IJCAI 2024 Parametric model reduction of mean-field and stochastic systems via higher-order action matching NeurIPS 2024 Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024 Pareto Smoothed Importance Sampling JMLR 2024 PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback ICLR 2024 Parsimonious Learning-Augmented Approximations for Dense Instances of NP-hard Problems ICML 2024 Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming UAI 2024 Partial Optimality in the Linear Ordering Problem ICML 2024 Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning IJCAI 2024 Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits NeurIPS 2024 PASOA- PArticle baSed Bayesian Optimal Adaptive design ICML 2024 Passengers' Safety Matters: Experiences of Deploying a Large-Scale Indoor Delivery Monitoring System NSDI 2024 Path-Guided Particle-based Sampling ICML 2024 Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths AAAI 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams ICML 2024 Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization AAAI 2024 Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024 Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds NeurIPS 2024 Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization AAAI 2024 Performance Bounds for Active Binary Testing with Information Maximization ICML 2024 Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model ICLR 2024 Performative Control for Linear Dynamical Systems NeurIPS 2024 Performative Prediction with Bandit Feedback: Learning through Reparameterization ICML 2024 Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024