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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)

Generalization Guarantees via Algorithm-dependent Rademacher Complexity COLT 2023 Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023 Generalization in the Face of Adaptivity: A Bayesian Perspective NeurIPS 2023 Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation CVPR 2023 Generalization on the Unseen, Logic Reasoning and Degree Curriculum ICML 2023 Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation NeurIPS 2023 Generalized Differentiable RANSAC ICCV 2023 Generalized Disparate Impact for Configurable Fairness Solutions in ML ICML 2023 Generalized equivalences between subsampling and ridge regularization NeurIPS 2023 Generalized Implicit Follow-The-Regularized-Leader ICML 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 Generalized Polyak Step Size for First Order Optimization with Momentum ICML 2023 Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks ICLR 2023 Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization ICML 2023 Generalized Sum Pooling for Metric Learning ICCV 2023 Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023 Generalized test utilities for long-tail performance in extreme multi-label classification NeurIPS 2023 Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap ICLR 2023 Generalizing Clinical Trials with Convex Hulls CLeaR 2023 Generalizing Nonlinear ICA Beyond Structural Sparsity NeurIPS 2023 Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs IJCAI 2023 General Neural Gauge Fields ICLR 2023 General Planar Motion from a Pair of 3D Correspondences ICCV 2023 Generating QM1B with PySCF_IPU NeurIPS 2023 Generating Synthetic Datasets by Interpolating along Generalized Geodesics UAI 2023