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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)

Fair Distribution of Delivery Orders IJCAI 2024 Fair k-center Clustering with Outliers AISTATS 2024 Fair Lotteries for Participatory Budgeting AAAI 2024 Fairness and Efficiency in Online Class Matching NeurIPS 2024 Fairness-Aware Estimation of Graphical Models NeurIPS 2024 Fairness-Aware Meta-Learning via Nash Bargaining NeurIPS 2024 Fairness in Social Influence Maximization via Optimal Transport NeurIPS 2024 Fairness in Submodular Maximization over a Matroid Constraint AISTATS 2024 Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment AAAI 2024 Fair Online Bilateral Trade NeurIPS 2024 Fair Participation via Sequential Policies AAAI 2024 FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels AAAI 2024 Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract) AAAI 2024 Fair Secretaries with Unfair Predictions NeurIPS 2024 FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning AAAI 2024 FairWASP: Fast and Optimal Fair Wasserstein Pre-processing AAAI 2024 FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024 Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024 Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent AISTATS 2024 Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits ICML 2024 Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence COLT 2024 Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024 Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NeurIPS 2024 Faster Adaptive Decentralized Learning Algorithms ICML 2024 Faster Approximation of Probabilistic and Distributional Values via Least Squares ICLR 2024