Provable Gaussian Embedding with One Observation
Joint Nonparametric Precision Matrix Estimation with Confounding
sinong-geng
Efficient Distributed Learning with Sparsity
We propose a novel, efficient approach for distributed sparse learning with observations randomly partitioned across machines. In each round of the proposed method, worker machines …
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
Sketching techniques scale up machine learning algorithms by reducing the sample size or dimensionality of massive data sets, without sacrificing their statistical properties. In …
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
arun-sai-suggala
An Influence-Receptivity Model for Topic based Information Cascades
Distributed Multi-Task Learning
We consider the problem of distributed multi-task learning, where each machine learns a separate, but related, task. Specifically, each machine learns a linear predictor in …
Statistical Inference for Pairwise Graphical Models Using Score Matching
Inference for High-dimensional Exponential Family Graphical Models
Markov Network Estimation From Multi-attribute Data
