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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)

Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration ICCV 2013 Unconfused Ultraconservative Multiclass Algorithms ACML 2013 Understanding Bayesian Rooms Using Composite 3D Object Models CVPR 2013 Understanding Dropout NeurIPS 2013 Understanding variable importances in forests of randomized trees NeurIPS 2013 Underwater Camera Calibration Using Wavelength Triangulation CVPR 2013 Unfolding Latent Tree Structures using 4th Order Tensors ICML 2013 Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013 Universality of the Local Marginal Polytope CVPR 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Unsupervised Spectral Learning of Finite State Transducers NeurIPS 2013 Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift ACML 2013 Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013 Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction CVPR 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 What is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search? ICCV 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow CVPR 2013 Why Steiner-tree type algorithms work for community detection AISTATS 2013 A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012