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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 Properties of NAS under Activation and Skip Connection Search NeurIPS 2022 Generalization Through the Lens of Leave-One-Out Error ICLR 2022 Generalized Ambiguity Decomposition for Ranking Ensemble Learning JMLR 2022 Generalized Bayesian quadrature with spectral kernels UAI 2022 Generalized Data Distribution Iteration ICML 2022 Generalized Demographic Parity for Group Fairness ICLR 2022 Generalized Federated Learning via Sharpness Aware Minimization ICML 2022 Generalized Group Testing AISTATS 2022 Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022 Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays JMLR 2022 Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs ICLR 2022 Generalized Resubstitution for Classification Error Estimation JMLR 2022 Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model ICML 2022 Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning NeurIPS 2022 Generalizing Bayesian Optimization with Decision-theoretic Entropies NeurIPS 2022 Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses NeurIPS 2022 Generalizing Few-Shot NAS with Gradient Matching ICLR 2022 Generalizing Gaussian Smoothing for Random Search ICML 2022 Generalizing to New Physical Systems via Context-Informed Dynamics Model ICML 2022 General Optimization Framework for Recurrent Reachability Objectives IJCAI 2022 Generating Distributional Adversarial Examples to Evade Statistical Detectors ICML 2022 Generating Scientific Definitions with Controllable Complexity ACL 2022 Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior CVPR 2022 Generative Principal Component Analysis ICLR 2022 Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022