Stat-Ml
Rapid Learning with Stochastic Focus of Attention
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Probabilistic analysis of the human transcriptome with side information
Computationally efficient algorithms for statistical image processing. Implementation in R
Improved RIP Analysis of Orthogonal Matching Pursuit
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
Vector Diffusion Maps and the Connection Laplacian
Bounds on the Bayes Error Given Moments
All-at-once Optimization for Coupled Matrix and Tensor Factorizations
Dual-Tree Fast Gauss Transforms
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Unsupervised nonparametric detection of unknown objects in noisy images based on percolation theory
Discriminant Analysis with Adaptively Pooled Covariance
On Nonparametric Guidance for Learning Autoencoder Representations
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
Predictors of short-term decay of cell phone contacts in a large scale communication network
Large Scale Correlation Screening
Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
Fast Inference of Interactions in Assemblies of Stochastic Integrate-and-Fire Neurons from Spike Recordings
Randomized algorithms for statistical image analysis and site percolation on square lattices
How the result of graph clustering methods depends on the construction of the graph
Representations and Ensemble Methods for Dynamic Relational Classification
