35 citations · 76 across the 6 of their papers we have counts for
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stat.ML2021★ 8 cited
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization
Lorenzo Pacchiardi, Rilwan Adewoyin, Peter Dueben +1
Probabilistic forecasting relies on past observations to provide a probability distribution for a future outcome, which is often evaluated against the realization using a scoring r…
stat.ME2021★ 7 cited
Generalized Bayesian Likelihood-Free Inference
Lorenzo Pacchiardi, Sherman Khoo, Ritabrata Dutta
We propose a posterior for Bayesian Likelihood-Free Inference (LFI) based on generalized Bayesian inference. To define the posterior, we use Scoring Rules (SRs), which evaluate pro…