Joshua V. Dillon

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

Yaniv Ovadia, Emily Fertig, Jie Ren et al. · arXiv (Cornell University) · 2019 · 648 citations · Full text

Dataset Shift, Machine Learning, Engineering +24

Deep Variational Information Bottleneck

Alexander A. Alemi, Ian Fischer, Joshua V. Dillon et al. · arXiv (Cornell University) · 2016 · 367 citations · Full text

Artificial Intelligence, Information Bottleneck, Engineering +11

Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift

Yaniv Ovadia, Emily Fertig, Jie Ren et al. · arXiv (Cornell University) · 2019 · 367 citations · Full text

Dataset Shift, Machine Learning, Engineering +24

TensorFlow Distributions

Joshua V. Dillon, Ian Langmore, Dustin Tran et al. · arXiv (Cornell University) · 2017 · 240 citations · Full text

Artificial Intelligence, Tensorflow Distributions, Geometric Learning +15

Uncertainty in the Variational Information Bottleneck

Alexander A. Alemi, Ian Fischer, Joshua V. Dillon · arXiv (Cornell University) · 2018 · 65 citations · Full text

Variational Information Bottleneck, Engineering, Machine Learning +18