Elliot Creager
Elliot Creager
Verified email at cs.toronto.edu - Homepage
TitleCited byYear
Learning adversarially fair and transferable representations
D Madras, E Creager, T Pitassi, R Zemel
arXiv preprint arXiv:1802.06309, 2018
782018
Explaining Image Classifiers by Counterfactual Generation
CH Chang, E Creager, A Goldenberg, D Duvenaud
arXiv preprint arXiv:1807.08024, 2018
18*2018
Fairness through causal awareness: Learning causal latent-variable models for biased data
D Madras, E Creager, T Pitassi, R Zemel
Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019
142019
Flexibly fair representation learning by disentanglement
E Creager, D Madras, JH Jacobsen, MA Weis, K Swersky, T Pitassi, ...
arXiv preprint arXiv:1906.02589, 2019
72019
Gradient-based optimization of neural network architecture
W Grathwohl, E Creager, SKS Ghasemipour, R Zemel
52018
Interpreting neural network classifications with variational dropout saliency maps
CH Chang, E Creager, A Goldenberg, D Duvenaud
Proc. NIPS 1 (2), 6, 2017
52017
Nonnegative tensor factorization with frequency modulation cues for blind audio source separation
E Creager, ND Stein, R Badeau, P Depalle
arXiv preprint arXiv:1606.00037, 2016
52016
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
22018
Musical source separation by coherent frequency modulation cues
E Creager
Master’s thesis, McGill University, 2015
22015
Causal Modeling for Fairness in Dynamical Systems
E Creager, D Madras, T Pitassi, R Zemel
arXiv preprint arXiv:1909.09141, 2019
2019
Learning Adversarially Fair and Transferrable Representations
E Creager, T Pitassi, R Zemel
2018
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Articles 1–11