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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
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2000
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Papers (including subtopics)

Adaptive Stabilization Based on Machine Learning for Column Generation ICML 2024 Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NeurIPS 2024 Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024 Ad Auctions for LLMs via Retrieval Augmented Generation NeurIPS 2024 Addressing Bias in Online Selection with Limited Budget of Comparisons NeurIPS 2024 A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health NeurIPS 2024 A De-singularity Subgradient Approach for the Extended Weber Location Problem IJCAI 2024 A Discretization Framework for Robust Contextual Stochastic Optimization ICLR 2024 AdjointDEIS: Efficient Gradients for Diffusion Models NeurIPS 2024 Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024 Adjust Pearson's r to Measure Arbitrary Monotone Dependence NeurIPS 2024 A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization ICML 2024 Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness ICLR 2024 Advection Augmented Convolutional Neural Networks NeurIPS 2024 Adversarial Contextual Bandits Go Kernelized ALT 2024 Adversarial Online Learning with Temporal Feedback Graphs COLT 2024 Adversarial Schrödinger Bridge Matching NeurIPS 2024 A Dynamic Algorithm for Weighted Submodular Cover Problem ICML 2024 A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution CVPR 2024 A Fast Algorithm for MaxSAT above Half Number of Clauses IJCAI 2024 A fast algorithm to simulate nonlinear resistive networks ICML 2024 A Fast and Provable Algorithm for Sparse Phase Retrieval ICLR 2024 A faster and simpler algorithm for learning shallow networks COLT 2024 A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem AAAI 2024