research
∙
05/26/2022
Flexible Group Fairness Metrics for Survival Analysis
Algorithmic fairness is an increasingly important field concerned with d...
share
research
∙
02/04/2022
ℱ-EBM: Energy Based Learning of Functional Data
Energy-Based Models (EBMs) have proven to be a highly effective approach...
research
∙
12/09/2021
Evaluation of survival distribution predictions with discrimination measures
In this paper we consider how to evaluate survival distribution predicti...
research
∙
08/24/2021
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale
Increasing interest in privacy-preserving machine learning has led to ne...
research
∙
11/16/2020
Foundations of Bayesian Learning from Synthetic Data
There is significant growth and interest in the use of synthetic data as...
research
∙
11/04/2020
Debiasing classifiers: is reality at variance with expectation?
Many methods for debiasing classifiers have been proposed, but their eff...
research
∙
07/30/2020
A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services
Rough sleeping is a chronic problem faced by some of the most disadvanta...
research
∙
08/23/2019
Design choices for productive, secure, data-intensive research at scale in the cloud
We present a policy and process framework for secure environments for pr...
research
∙
12/21/2018
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
Machine learning (ML), artificial intelligence (AI) and other modern sta...
research
∙
09/15/2016
Multilevel Monte Carlo for Scalable Bayesian Computations
Markov chain Monte Carlo (MCMC) algorithms are ubiquitous in Bayesian co...
research
∙
05/04/2016
Multi Level Monte Carlo methods for a class of ergodic stochastic differential equations
We develop a framework that allows the use of the multi-level Monte Carl...
research
∙
12/31/2015
