David Madras
David Madras
Verifierad e-postadress på cs.toronto.edu - Startsida
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Learning adversarially fair and transferable representations
D Madras, E Creager, T Pitassi, R Zemel
International Conference on Machine Learning, 3384-3393, 2018
2292018
Flexibly fair representation learning by disentanglement
E Creager, D Madras, JH Jacobsen, M Weis, K Swersky, T Pitassi, ...
International Conference on Machine Learning, 1436-1445, 2019
862019
Fairness through causal awareness: Learning latent-variable models for biased data
D Madras, E Creager, T Pitassi, R Zemel
arXiv preprint arXiv:1809.02519, 2018
59*2018
Predict responsibly: Increasing fairness by learning to defer
D Madras, T Pitassi, R Zemel
46*2018
Causal modeling for fairness in dynamical systems
E Creager, D Madras, T Pitassi, R Zemel
International Conference on Machine Learning, 2185-2195, 2020
92020
Amortized causal discovery: Learning to infer causal graphs from time-series data
S Löwe, D Madras, R Zemel, M Welling
arXiv preprint arXiv:2006.10833, 2020
72020
Detecting extrapolation with local ensembles
D Madras, J Atwood, A D'Amour
arXiv preprint arXiv:1910.09573, 2019
72019
Change-point detection methods for body-worn video
S Allen, D Madras, Y Ye, G Zanotti
arXiv preprint arXiv:1610.06453, 2016
62016
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
R Adragna, E Creager, D Madras, R Zemel
arXiv preprint arXiv:2011.06485, 2020
42020
Improving fairness in match play golf through enhanced handicap allocation
TCY Chan, D Madras, ML Puterman
Journal of Sports Analytics 4 (4), 251-262, 2018
22018
Differentially Private Recommender Systems
D Madras
2017
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Download PDF Open Website
S Löwe, D Madras, R Zemel, M Welling
Detecting Extrapolation with Influence Functions
D Madras, J Atwood, A D’Amour
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Artiklar 1–13