Joshua V. Dillon

activity

20102026

most citedCan You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

924 citations · 1.8k across the 26 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022★ 2 cited

Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications

Matthew Streeter, Joshua V. Dillon

We present a new algorithm for automatically bounding the Taylor remainder series. In the special case of a scalar function $f : R \to R$ , our algorithm takes as i…

cs.LG2022★ 5 cited

Weighted Ensemble Self-Supervised Learning

Yangjun Ruan, Saurabh Singh, Warren Morningstar +4

Ensembling has proven to be a powerful technique for boosting model performance, uncertainty estimation, and robustness in supervised learning. Advances in self-supervised learning…