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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)

Active and passive learning of linear separators under log-concave distributions COLT 2013 Active Contours with Group Similarity CVPR 2013 Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NeurIPS 2013 Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking ACML 2013 Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013 Activized Learning with Uniform Classification Noise ICML 2013 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013 Adaptive dropout for training deep neural networks NeurIPS 2013 Adaptive Estimation of Measurement Bias in Three-Dimensional Field Sensors with Angular Rate Sensors: Theory and Comparative Experimental Evaluation RSS 2013 Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013 Adaptive Market Making via Online Learning NeurIPS 2013 Adaptive Sparsity in Gaussian Graphical Models ICML 2013 Adaptive Step-Size for Policy Gradient Methods NeurIPS 2013 Adaptive Submodular Maximization in Bandit Setting NeurIPS 2013 Adaptive Task Assignment for Crowdsourced Classification ICML 2013 Adaptivity to Local Smoothness and Dimension in Kernel Regression NeurIPS 2013 A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NeurIPS 2013 A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit CVPR 2013 A Fast and Exact Energy Minimization Algorithm for Cycle MRFs ICML 2013 A Fast Approximate AIB Algorithm for Distributional Word Clustering CVPR 2013 A Fast Semidefinite Approach to Solving Binary Quadratic Problems CVPR 2013 A Fully-Connected Layered Model of Foreground and Background Flow CVPR 2013 A Gang of Bandits NeurIPS 2013 A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013 A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding ICCV 2013