4 citations · 5 across the 4 of their papers we have counts for
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stat.CO2024
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference
Conor Hassan, Matthew Sutton, Antonietta Mira +1
Vertical federated learning (VFL) has emerged as a paradigm for collaborative model estimation across multiple clients, each holding a distinct set of covariates. This paper introd…
stat.CO2020
Reversible Jump PDMP Samplers for Variable Selection
Augustin Chevallier, Paul Fearnhead, Matthew Sutton
A new class of Markov chain Monte Carlo (MCMC) algorithms, based on simulating piecewise deterministic Markov processes (PDMPs), have recently shown great promise: they are non-rev…