7 citations · 14 across the 8 of their papers we have counts for
Showing 2019Show all
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stat.CO2019
Scalable optimization-based sampling on function space
Johnathan Bardsley, Tiangang Cui, Youssef Marzouk +1
Optimization-based samplers such as randomize-then-optimize (RTO) [2] provide an efficient and parallellizable approach to solving large-scale Bayesian inverse problems. These meth…
stat.ML2019★ 5 cited
Stein Variational Online Changepoint Detection with Applications to Hawkes Processes and Neural Networks
Gianluca Detommaso, Hanne Hoitzing, Tiangang Cui +1
Bayesian online changepoint detection (BOCPD) (Adams & MacKay, 2007) offers a rigorous and viable way to identify changepoints in complex systems. In this work, we introduce a Stei…