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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)

Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AISTATS 2024 Fixed Pattern Noise Removal for Multi-View Single-Sensor Infrared Camera WACV 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NeurIPS 2024 Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds COLT 2024 FOSI: Hybrid First and Second Order Optimization ICLR 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NeurIPS 2024 Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NeurIPS 2024 From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024 From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach NeurIPS 2024 From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach RSS 2024 From Inverse Optimization to Feasibility to ERM ICML 2024 From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization NeurIPS 2024 Fully Unconstrained Online Learning NeurIPS 2024 Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024 Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem NeurIPS 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 Functions with average smoothness: structure, algorithms, and learning JMLR 2024 Fundamental Benefit of Alternating Updates in Minimax Optimization ICML 2024 Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints ICML 2024 Fundamental Limits of Non-Linear Low-Rank Matrix Estimation COLT 2024 Fun with Flags: Robust Principal Directions via Flag Manifolds CVPR 2024 Fusing Conditional Submodular GAN and Programmatic Weak Supervision AAAI 2024 Game-Theoretic Unlearnable Example Generator AAAI 2024 Gap-Free Clustering: Sensitivity and Robustness of SDP COLT 2024 Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling COLT 2024