While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

Stochastic differential equations are differential equations whose solutions are stochastic
processes. They exhibit appealing mathematical properties that are useful in modeling …

There is growing interest in estimating and analyzing heterogeneous treatment effects in
experimental and observational studies. We describe a number of metaalgorithms that can …

Background Brain activation in response to spoken motor commands can be detected by
electroencephalography (EEG) in clinically unresponsive patients. The prevalence and …

We develop an approach to risk minimization and stochastic optimization that provides a
convex surrogate for variance, allowing near-optimal and computationally efficient trading …

“… The customary test for an observed difference… is based on an enumeration of the
probabilities, on the initial hypothesis that two treatments do not differ in their effects,… of all …

We survey some of the recent advances in mean estimation and regression function
estimation. In particular, we describe sub-Gaussian mean estimators for possibly heavy …

During aerobic growth on glucose, Escherichia coli excretes acetate, a mechanism called
“overflow metabolism.” At high concentrations, the secreted acetate inhibits growth. Several …

Does data interpolation contradict statistical optimality? Page 1 Does data interpolation
contradict statistical optimality? Mikhail Belkin Alexander Rakhlin Alexandre B. Tsybakov The …

Provides a comprehensive and updated study of GARCH models and their applications in
finance, covering new developments in the discipline This book provides a comprehensive …