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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Feature Collapse ICLR 2024 Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize ICML 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 Feature emergence via margin maximization: case studies in algebraic tasks ICLR 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024 FedAST: Federated Asynchronous Simultaneous Training UAI 2024 FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models ICML 2024 FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024 FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ICLR 2024 FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler ICLR 2024 FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients IJCAI 2024 FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ICLR 2024 Federated Automatic Differentiation JMLR 2024 Federated Black-Box Adaptation for Semantic Segmentation NeurIPS 2024 Federated Combinatorial Multi-Agent Multi-Armed Bandits ICML 2024 Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes ICML 2024 Federated Generalized Category Discovery CVPR 2024 Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024 Federated Learning over Connected Modes NeurIPS 2024 Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NeurIPS 2024 Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups NeurIPS 2024 Federated Optimization with Doubly Regularized Drift Correction ICML 2024 Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning ICLR 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ICLR 2024