Sharp Finite-Time Iterated-Logarithm Martingale Concentration

FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test

Policy Gradients for CVaR-Constrained MDPs

Two-Stage Metric Learning

Approximate Policy Iteration Schemes: A Comparison

Consistency of random forests

Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm

A Neuron as a Signal Processing Device

G-AMA: Sparse Gaussian graphical model estimation via alternating minimization

Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling

Graph Matching: Relax at Your Own Risk

Circulant Binary Embedding

Efficient Implementations of the Generalized Lasso Dual Path Algorithm

On the Complexity of A/B Testing

Scalable sparse covariance estimation via self-concordance

Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees

Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards

Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection

Learning rates for the risk of kernel based quantile regression estimators in additive models

Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques