219 citations · 513 across the 53 of their papers we have counts for
3 papers · 1 filter
Rate-Distortion Bounds on Bayes Risk in Supervised Learning
Matthew Nokleby, Ahmad Beirami, Robert Calderbank
We present an information-theoretic framework for bounding the number of labeled samples needed to train a classifier in a parametric Bayesian setting. We derive bounds on the aver…
Performance Trade-Offs in Multi-Processor Approximate Message Passing
Junan Zhu, Ahmad Beirami, Dror Baron
We consider large-scale linear inverse problems in Bayesian settings. Our general approach follows a recent line of work that applies the approximate message passing (AMP) framewor…
Optimal Trade-offs in Multi-Processor Approximate Message Passing
Junan Zhu, Dror Baron, Ahmad Beirami
We consider large-scale linear inverse problems in Bayesian settings. We follow a recent line of work that applies the approximate message passing (AMP) framework to multi-processo…