BIDSA Webinar: "Robust Estimation via M.M.D. Minimization"
BIDSA Webinar: "Robust Estimation via M.M.D. Minimization" - Pierre Alquier, RIKEN Center for Advanced Intelligence Project read
Synthesizing Big, Wide and Dirty Data to Predict Election Outcomes
An Applied Social Science problem inspired Professor Omiros Papaspiliopoulos, new BIDSA Fellow, to investigate new scalable Bayesian computation strategies. read
BIDSA Webinar: "Robustly Learning Mixtures of (Clusterable) Gaussians via the SoS Proofs to Algorithms Method"
BIDSA Webinar Spring Series 2021 - Sam Hopkins read
Navigating Uncertainty: Why We Need Decision Theory During a Pandemic
Massimo Marinacci and Valentina Bosetti investigate how modern Decision Theory can assist policymakers in critical times such as the Covid19 crisis in a paper co-authored by the Nobel Laureate Lars Peter Hansen. read
BIDSA Webinar: "Streaming k-PCA and concentration for random matrix products"
BIDSA Webinar Spring Series 2021 - Jonathan Niles-Weed read