Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty
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Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification

18 November 2020

Youngseog Chung

Willie Neiswanger

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Papers citing "Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification"

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Title
$f$ -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception Dhaivat Bhatt Kaustubh Mani Dishank Bansal Krishna Murthy Jatavallabhula Hanju Lee Liam Paull UQCV 93 5 0 28 Sep 2021
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider Willie Neiswanger 93 72 0 21 Sep 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 111 172 0 15 Jul 2021
How to Evaluate Uncertainty Estimates in Machine Learning for Regression? Laurens Sluijterman Eric Cator Tom Heskes UQCV 75 24 0 07 Jun 2021
Improving Conditional Coverage via Orthogonal Quantile Regression Shai Feldman Stephen Bates Yaniv Romano 121 43 0 01 Jun 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 321 94 0 16 Feb 2021