15 citations · 24 across the 4 of their papers we have counts for
5 papers
Lower bounds in multiple testing: A framework based on derandomized proxies
Max Rabinovich, Michael I. Jordan, Martin J. Wainwright
The large bulk of work in multiple testing has focused on specifying procedures that control the false discovery rate (FDR), with relatively less attention being paid to the corres…
Optimal Rates and Tradeoffs in Multiple Testing
Maxim Rabinovich, Aaditya Ramdas, Michael I. Jordan +1
Multiple hypothesis testing is a central topic in statistics, but despite abundant work on the false discovery rate (FDR) and the corresponding Type-II error concept known as the f…
On the accuracy of self-normalized log-linear models
Jacob Andreas, Maxim Rabinovich, Dan Klein +1
Calculation of the log-normalizer is a major computational obstacle in applications of log-linear models with large output spaces. The problem of fast normalizer computation has th…
Variational consensus Monte Carlo
Maxim Rabinovich, Elaine Angelino, Michael I. Jordan
Practitioners of Bayesian statistics have long depended on Markov chain Monte Carlo (MCMC) to obtain samples from intractable posterior distributions. Unfortunately, MCMC algorithm…
Online Inference for Relation Extraction with a Reduced Feature Set
Maxim Rabinovich, Cédric Archambeau
Access to web-scale corpora is gradually bringing robust automatic knowledge base creation and extension within reach. To exploit these large unannotated---and extremely difficult…