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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework ICML 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 Federated Learning for Feature Generalization with Convex Constraints ICML 2025 Federated Representation Angle Learning ICCV 2025 Federated Residual Low-Rank Adaptation of Large Language Models ICLR 2025 Federated Stochastic Bilevel Optimization with Fully First-Order Gradients IJCAI 2025 Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients AAAI 2025 Federated Voxel Scene Graph for Intracranial Hemorrhage WACV 2025 FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025 FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking ICLR 2025 FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning ICML 2025 FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025 FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates ICML 2025 FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence ICML 2025 FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization ICCV 2025 Feedback Favors the Generalization of Neural ODEs ICLR 2025 Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation EMNLP 2025 FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection RSS 2025 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models ICML 2025 FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025 Few-Shot Open-Set Classification via Reasoning-Aware Decomposition EMNLP 2025 FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program AAAI 2025 FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference CoRL 2025 F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI ICLR 2025