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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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Papers (including subtopics)

Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023 Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond ICML 2023 Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy NeurIPS 2023 Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023 Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians NeurIPS 2023 Gradient-Free Kernel Stein Discrepancy NeurIPS 2023 Gradient Gating for Deep Multi-Rate Learning on Graphs ICLR 2023 Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models ICLR 2023 Gradient-Informed Neural Network Statistical Robustness Estimation AISTATS 2023 Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization CVPR 2023 Gradient-Variation Bound for Online Convex Optimization with Constraints AAAI 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions CVPR 2023 GradSim: Gradient-Based Language Grouping for Effective Multilingual Training EMNLP 2023 Grammar-based Decoding for Improved Compositional Generalization in Semantic Parsing ACL 2023 Grammatical Error Correction for Sentence-level Assessment in Language Learning ACL 2023 Graph-Aided Online Multi-Kernel Learning JMLR 2023 Graph Attention Retrospective JMLR 2023 Graph classification Gaussian processes via spectral features UAI 2023 Graph Inductive Biases in Transformers without Message Passing ICML 2023 Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication ICML 2023 Graph Neural Tangent Kernel: Convergence on Large Graphs ICML 2023 Graph Reinforcement Learning for Network Control via Bi-Level Optimization ICML 2023 GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks AAAI 2023 Great Bibliographies as a Source of Data for the Humanities – NLP in the Analysis of Gender of Book Authors in German Countries and in Poland (1801-2021) EACL 2023