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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)

Scalable Fair Influence Maximization NeurIPS 2023 Scalable Optimal Multiway-Split Decision Trees with Constraints AAAI 2023 Scalable Unbalanced Sobolev Transport for Measures on a Graph AISTATS 2023 ScaleDB: A Scalable, Asynchronous In-Memory Database OSDI 2023 Scale Invariant Power Iteration JMLR 2023 Scaling integer arithmetic in probabilistic programs UAI 2023 Score-based Quickest Change Detection for Unnormalized Models AISTATS 2023 Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking NeurIPS 2023 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning ICML 2023 Second-Order Optimization with Lazy Hessians ICML 2023 Second Order Path Variationals in Non-Stationary Online Learning AISTATS 2023 Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach AAAI 2023 Select and Optimize: Learning to solve large-scale TSP instances AISTATS 2023 Self-Adjusting Weighted Expected Improvement for Bayesian Optimization AutoML 2023 Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction ICML 2023 Self-Consistent Velocity Matching of Probability Flows NeurIPS 2023 Self-Supervised Primal-Dual Learning for Constrained Optimization AAAI 2023 SelfTune: Tuning Cluster Managers NSDI 2023 Self Weighted Multiplex Modularity Maximization for Multiview Clustering ACML 2023 Semantic Similarity Covariance Matrix Shrinkage EMNLP 2023 Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023 Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing AAAI 2023 Semidefinite Relaxations for Robust Multiview Triangulation CVPR 2023 Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm. ICML 2023 Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model ICML 2023