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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)

Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Coresets for k-Segmentation of Streaming Data NeurIPS 2014 Covariance Trees for 2D and 3D Processing CVPR 2014 Cover Tree Bayesian Reinforcement Learning JMLR 2014 Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation CVPR 2014 Deblurring Text Images via L0-Regularized Intensity and Gradient Prior CVPR 2014 Decomposing Parameter Estimation Problems NeurIPS 2014 Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain NeurIPS 2014 Decoupled Variational Gaussian Inference NeurIPS 2014 Deep Boosting ICML 2014 Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014 Deep Generative Stochastic Networks Trainable by Backprop ICML 2014 Deformable Object Matching via Deformation Decomposition based 2D Label MRF CVPR 2014 Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NeurIPS 2014 Depth Enhancement via Low-rank Matrix Completion CVPR 2014 Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014 Deterministic Policy Gradient Algorithms ICML 2014 Deterministic Symmetric Positive Semidefinite Matrix Completion NeurIPS 2014 DFacTo: Distributed Factorization of Tensors NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014 Discovering Latent Network Structure in Point Process Data ICML 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Discovering Structure in High-Dimensional Data Through Correlation Explanation NeurIPS 2014