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20222026
most citedBenchmarking Bayesian neural networks and evaluation metrics for regression tasks

2 citations · 7 across the 7 of their papers we have counts for

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math.ST2026

Asymmetric conformal prediction with penalized kernel sum-of-squares

Louis Allain, Sébastien Da Veiga, Brian Staber

Conformal prediction (CP) is a distribution-free method to construct reliable prediction intervals that has gained significant attention in recent years. Despite its success and va…

math.ST2023

Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization

Clément Bénard, Brian Staber, Sébastien Da Veiga

Stein thinning is a promising algorithm proposed by (Riabiz et al., 2022) for post-processing outputs of Markov chain Monte Carlo (MCMC). The main principle is to greedily minimize…