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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)

Conversational Modeling for Constraint Satisfaction AAAI 2024 Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning ICML 2024 Convex approximations for a bi-level formulation of data-enabled predictive control L4DC 2024 Coresets for Multiple ℓ_p Regression ICML 2024 Cost Minimization for Equilibrium Transition AAAI 2024 Couples Can Be Tractable: New Algorithms and Hardness Results for the Hospitals/Residents Problem with Couples IJCAI 2024 CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing CVPR 2024 CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption ALT 2024 Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization AAAI 2024 CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition CVPR 2024 Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024 DAG-Based Column Generation for Adversarial Team Games ICML 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024 Data-Driven Online Model Selection With Regret Guarantees AISTATS 2024 Data-driven robust covariance control for uncertain linear systems L4DC 2024 Data driven verification of positive invariant sets for discrete, nonlinear systems L4DC 2024 Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024 DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context UAI 2024 Data subsampling for Poisson regression with pth-root-link NeurIPS 2024 Data Summarization via Bilevel Optimization JMLR 2024 Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning AAAI 2024 Debiasing Evaluations That Are Biased by Evaluations JMLR 2024 Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers ICML 2024 Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024