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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)

Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NeurIPS 2015 Efficient Illuminant Estimation for Color Constancy Using Grey Pixels CVPR 2015 Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NeurIPS 2015 Efficient Learning of Linear Separators under Bounded Noise COLT 2015 Efficient Non-greedy Optimization of Decision Trees NeurIPS 2015 Efficient Output Kernel Learning for Multiple Tasks NeurIPS 2015 Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification ICCV 2015 Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition CVPR 2015 Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Efficient Training of LDA on a GPU by Mean-for-Mode Estimation ICML 2015 Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015 Elastic-Net Regularization of Singular Values for Robust Subspace Learning CVPR 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NeurIPS 2015 Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015 End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression CVPR 2015 End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NeurIPS 2015 Enhancing Road Maps by Parsing Aerial Images Around the World ICCV 2015 Entropy-Based Concentration Inequalities for Dependent Variables ICML 2015 Entropy-Based Latent Structured Output Prediction ICCV 2015 Entropy Minimization for Convex Relaxation Approaches ICCV 2015 Equilibrated adaptive learning rates for non-convex optimization NeurIPS 2015 Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions COLT 2015