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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)

Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity NeurIPS 2023 Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization NeurIPS 2023 Fast Rates in Time-Varying Strongly Monotone Games ICML 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers AAAI 2023 Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation JMLR 2023 Federated Learning for Data Streams AISTATS 2023 Federated Linear Bandits with Finite Adversarial Actions NeurIPS 2023 Federated Multi-Objective Learning NeurIPS 2023 Federated Online and Bandit Convex Optimization ICML 2023 Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023 Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023 Finding Fair Allocations under Budget Constraints AAAI 2023 Finding Good Partial Assignments during Restart-Based Branch and Bound Search AAAI 2023 Finding Local Minima Efficiently in Decentralized Optimization NeurIPS 2023 Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NeurIPS 2023 Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NeurIPS 2023 Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters JMLR 2023 Finite-Time Logarithmic Bayes Regret Upper Bounds NeurIPS 2023 Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract) IJCAI 2023 First- and Second-Order Bounds for Adversarial Linear Contextual Bandits NeurIPS 2023 First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems JMLR 2023 First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities NeurIPS 2023 First Order Stochastic Optimization with Oblivious Noise NeurIPS 2023 Fisher information lower bounds for sampling ALT 2023