Fair Selective Classification via Sufficiency
- Joshua Lee
- Yuheng Bu
- et al.
- 2021
- ICML 2021
Conference paper
Publications
94 results for Uncertainty Quantification
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
- Umang Bhatt
- Javier Antorán
- et al.
- 2021
- AIES 2021
Conference paperLearning Prediction Intervals for Model Performance
- Benjamin Elder
- Matthew Arnold
- et al.
- 2021
- AAAI 2021
Conference paperApproximate Cross-Validation for Structured Models
- Soumya Ghosh
- William T. Stephenson
- et al.
- 2020
- NeurIPS 2020
Conference paperActive learning of deep surrogates for PDEs: application to metasurface design
- Raphaël Pestourie
- Youssef Mroueh
- et al.
- 2020
- npj Computational Materials
PaperChi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Workshop paperRapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- Richard Tomsett
- Alun Preece
- et al.
- 2020
- Patterns
ReviewLearn-By-Calibrating: Using Calibration As A Training Objective
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- ICASSP 2020
Conference paperTowards Automating the AI Operations Lifecycle
- Matthew Arnold
- Jeffrey Boston
- et al.
- 2020
- MLSys 2020
Workshop paperBuilding calibrated deep models via uncertainty matching with auxiliary interval predictors
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- AAAI 2020
Conference paper