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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)

FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair WACV 2026 Falsifying Causal Graphs With Outlier Events UAI 2026 Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity COLT 2026 Fast and Large-Scale Unbalanced Optimal Transport via its Semi-Dual and Adaptive Gradient Methods COLT 2026 Fast Conformal Prediction Using Conditional Interquantile Intervals AAAI 2026 Faster Game Solving via Asymmetry of Step Sizes AAAI 2026 Faster Game Solving via Hyperparameter Schedules AAAI 2026 Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity COLT 2026 Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026 Fast Score-Based Sampling via Log-Concave Reductions COLT 2026 FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection CVPR 2026 Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space AAAI 2026 Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract) AAAI 2026 FedAdamom: Adaptive Momentum for Improved Generalization in Federated Optimization CVPR 2026 FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026 FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026 FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026 Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint AAAI 2026 Federated Learning Playground AAAI 2026 Federated Linear Dueling Bandits AAAI 2026 FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026 FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning CVPR 2026 FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026 FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026 FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters AAAI 2026