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20242026
most citedBayesian inference for the Markov-modulated Poisson process with an outcome process

1 citations · 1 across the 6 of their papers we have counts for

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stat.AP2026

When to repeat a biomarker test? Decomposing sources of variation from conditionally repeated measurements

Supun Manathunga, Mart P. Janssen, Yu Luo +2

Repeating an imperfect biomarker test based on an initial result can introduce bias and influence misclassification risk. For example, in some blood donation settings, blood donors…

cs.LG2026

Boosting CVaR Policy Optimization with Quantile Gradients

Yudong Luo, Erick Delage

Optimizing Conditional Value-at-risk (CVaR) using policy gradient (a.k.a CVaR-PG) faces significant challenges of sample inefficiency. This inefficiency stems from the fact that it…