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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)

Random Feature Amplification: Feature Learning and Generalization in Neural Networks JMLR 2023 Random Feature Neural Networks Learn Black-Scholes Type PDEs Without Curse of Dimensionality JMLR 2023 Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023 Random Forests for Change Point Detection JMLR 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023 Randomized geometric tools for anomaly detection in stock markets AISTATS 2023 Randomized Positional Encodings Boost Length Generalization of Transformers ACL 2023 Randomized Primal-Dual Methods with Adaptive Step Sizes AISTATS 2023 Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks NeurIPS 2023 Randomized Spectral Co-Clustering for Large-Scale Directed Networks JMLR 2023 Random Laplacian Features for Learning with Hyperbolic Space ICLR 2023 Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption ICML 2023 Randomness Is the Root of All Evil: More Reliable Evaluation of Deep Active Learning WACV 2023 Random Reshuffling with Variance Reduction: New Analysis and Better Rates UAI 2023 Random Teachers are Good Teachers ICML 2023 RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates ICLR 2023 Range-Based Equal Error Rate for Spoof Localization Interspeech 2023 Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation ACL 2023 Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization NeurIPS 2023 Ranking-based Argumentation Semantics Applied to Logical Argumentation IJCAI 2023 RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023 Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? ICCV 2023 Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback ICCV 2023 Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual AAAI 2023