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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 Tree-Field Integrators: From Low Displacement Rank to Topological Transformers NeurIPS 2024 Fast White-Box Adversarial Streaming Without a Random Oracle ICML 2024 Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training ICML 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024 FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ICLR 2024 Federated Combinatorial Multi-Agent Multi-Armed Bandits ICML 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024 Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NeurIPS 2024 Federated Optimization with Doubly Regularized Drift Correction ICML 2024 Federated Wasserstein Distance ICLR 2024 Federated X-armed Bandit AAAI 2024 Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation IJCAI 2024 Feel-Good Thompson Sampling for Contextual Dueling Bandits ICML 2024 FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning NeurIPS 2024 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search IJCAI 2024 Findings of the WMT 2024 Shared Task on Chat Translation EMNLP 2024 Finding Super-spreaders in Network Cascades COLT 2024 Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression ICML 2024 Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024 First-Order Methods for Linearly Constrained Bilevel Optimization NeurIPS 2024 First-Order Minimax Bilevel Optimization NeurIPS 2024 First Passage Percolation with Queried Hints AISTATS 2024 Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024 Fitting Flats to Flats CVPR 2024