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11/28/2022
Machine Learning for Health symposium 2022 – Extended Abstract track
A collection of the extended abstracts that were presented at the 2nd Ma...
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10/28/2020
Evaluating Model Robustness to Dataset Shift
As the use of machine learning in safety-critical domains becomes widesp...
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02/20/2020
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models
Shifts in environment between development and deployment cause classical...
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05/27/2019
The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance
Recent work addressing model reliability and generalization has resulted...
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05/27/2019
Should I Include this Edge in my Prediction? Analyzing the Stability-Performance Tradeoff
Recent work addressing model reliability and generalization has resulted...
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04/15/2019
Tutorial: Safe and Reliable Machine Learning
This document serves as a brief overview of the "Safe and Reliable Machi...
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12/11/2018
Learning Predictive Models That Transport
Classical supervised learning produces unreliable models when training a...
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08/09/2018
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms
Predictive models can fail to generalize from training to deployment env...
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04/06/2017
