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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)

Neur2SP: Neural Two-Stage Stochastic Programming NeurIPS 2022 Neural Abstractions NeurIPS 2022 Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo WACV 2022 Neural Architecture Search With Representation Mutual Information CVPR 2022 NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract) AAAI 2022 Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path ICLR 2022 Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NeurIPS 2022 Neural Conservation Laws: A Divergence-Free Perspective NeurIPS 2022 Neural Contextual Bandits without Regret AISTATS 2022 Neural Data-Dependent Transform for Learned Image Compression CVPR 2022 Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules NeurIPS 2022 NeuralEF: Deconstructing Kernels by Deep Neural Networks ICML 2022 Neural ensemble search via Bayesian sampling UAI 2022 Neural Estimation of Statistical Divergences JMLR 2022 Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection NeurIPS 2022 Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time ICML 2022 Neural Inverse Transform Sampler ICML 2022 Neural Laplace: Learning diverse classes of differential equations in the Laplace domain ICML 2022 Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees NeurIPS 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022 Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes ICLR 2022 Neural Network Architecture Beyond Width and Depth NeurIPS 2022 Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments Interspeech 2022 Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks ICML 2022 Neural Networks as Kernel Learners: The Silent Alignment Effect ICLR 2022