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07/21/2022
JAWS: Predictive Inference Under Covariate Shift
We propose JAWS, a series of wrapper methods for distribution-free uncer...
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12/22/2021
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Human space exploration beyond low Earth orbit will involve missions of ...
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12/22/2021
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
Space biology research aims to understand fundamental effects of spacefl...
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12/23/2020
Partial Identifiability in Discrete Data With Measurement Error
When data contains measurement errors, it is necessary to make assumptio...
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11/30/2020
The Impact of Time Series Length and Discretization on Longitudinal Causal Estimation Methods
The use of observational time series data to assess the impact of multi-...
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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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04/10/2019
Active Learning for Decision-Making from Imbalanced Observational Data
Machine learning can help personalized decision support by learning mode...
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01/25/2019
Learning Models from Data with Measurement Error: Tackling Underreporting
Measurement error in observational datasets can lead to systematic bias ...
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01/16/2019
Artificial Intelligence for Social Good
The Computing Community Consortium (CCC), along with the White House Off...
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01/02/2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
To use machine learning in high stakes applications (e.g. medicine), we ...
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01/02/2019
Auditing Pointwise Reliability Subsequent to Training
To use machine learning in high stakes applications (e.g. medicine), we ...
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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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10/06/2018
Discretizing Logged Interaction Data Biases Learning for Decision-Making
Time series data that are not measured at regular intervals are commonly...
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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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08/16/2017
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction
Missing data and noisy observations pose significant challenges for reli...
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04/06/2017
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions
Treatment effects can be estimated from observational data as the differ...
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03/30/2017
Reliable Decision Support using Counterfactual Models
Making a good decision involves considering the likely outcomes under ea...
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08/18/2016
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves
We study the problem of estimating the continuous response over time to ...
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04/20/2016
Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models
Predictive models are finding an increasing number of applications in ma...
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01/18/2016
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
For many complex diseases, there is a wide variety of ways in which an i...
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12/18/2015
Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking
This paper addresses fully automated multi-person tracking in complex en...
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07/27/2015
Learning (Predictive) Risk Scores in the Presence of Censoring due to Interventions
A large and diverse set of measurements are regularly collected during a...
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08/12/2010
