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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013
A Risk Comparison of Ordinary Least Squares vs Ridge Regression JMLR 2013
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013
Dimension Independent Similarity Computation JMLR 2013
Similarity-based Clustering by Left-Stochastic Matrix Factorization JMLR 2013
On the Convergence of Maximum Variance Unfolding JMLR 2013
Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013
Distributions of Angles in Random Packing on Spheres JMLR 2013
Approximating the Permanent with Fractional Belief Propagation JMLR 2013
Message-Passing Algorithms for Quadratic Minimization JMLR 2013
Distance Preserving Embeddings for General n-Dimensional Manifolds JMLR 2013
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013
Greedy Feature Selection for Subspace Clustering JMLR 2013
Maximum Volume Clustering: A New Discriminative Clustering Approach JMLR 2013
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory JMLR 2013
The CAM Software for Nonnegative Blind Source Separation in R-Java JMLR 2013
Parallel Vector Field Embedding JMLR 2013
Experiment Selection for Causal Discovery JMLR 2013
Stationary-Sparse Causality Network Learning JMLR 2013
Large-scale SVD and Manifold Learning JMLR 2013
PC Algorithm for Nonparanormal Graphical Models JMLR 2013
Sparse Matrix Inversion with Scaled Lasso JMLR 2013
Consistent Selection of Tuning Parameters via Variable Selection Stability JMLR 2013
Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) JMLR 2013