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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)

FedExP: Speeding Up Federated Averaging via Extrapolation ICLR 2023 Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NeurIPS 2023 FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023 FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023 FedLab: A Flexible Federated Learning Framework JMLR 2023 Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning UAI 2023 FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023 FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023 FedNAR: Federated Optimization with Normalized Annealing Regularization NeurIPS 2023 FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy ICLR 2023 FedSysID: A Federated Approach to Sample-Efficient System Identification L4DC 2023 FeDXL: Provable Federated Learning for Deep X-Risk Optimization ICML 2023 FERMAT: An Alternative to Accuracy for Numerical Reasoning ACL 2023 Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction ICML 2023 Few-shot Backdoor Attacks via Neural Tangent Kernels ICLR 2023 Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023 Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 FFAEval: Evaluating Dialogue System via Free-For-All Ranking EMNLP 2023 FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023 Filling the population statistics gap: Swiss German reference data on F0 and speech tempo for forensic contexts Interspeech 2023 Filter-Aware Model-Predictive Control L4DC 2023 Find a witness or shatter: the landscape of computable PAC learning. COLT 2023 FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities ICLR 2023 Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023