High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency

High-dimensional variable selection for Cox's proportional hazards model

Hilbert space embeddings and metrics on probability measures

How slow is slow? SFA detects signals that are slower than the driving force

How the initialization affects the stability of the k-means algorithm

How the result of graph clustering methods depends on the construction of the graph

How to Explain Individual Classification Decisions

Hyper-sparse optimal aggregation

Identifying relationships between drugs and medical conditions: winning experience in the Challenge 2 of the OMOP 2010 Cup

Improved Estimation of High-dimensional Ising Models

Improving the Johnson-Lindenstrauss Lemma

In All Likelihood, Deep Belief Is Not Enough

Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes

Increasing stability and interpretability of gene expression signatures

Independent screening for single-index hazard rate models with ultra-high dimensional features

Induction of High-level Behaviors from Problem-solving Traces using Machine Learning Tools

Inference in Hidden Markov Models with Explicit State Duration Distributions

Inference with Discriminative Posterior

Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks

Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis