Elliot Creager
Elliot Creager
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Learning adversarially fair and transferable representations
D Madras, E Creager, T Pitassi, R Zemel
International Conference on Machine Learning, 3384-3393, 2018
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
Explaining Image Classifiers by Counterfactual Generation
CH Chang, E Creager, A Goldenberg, D Duvenaud
arXiv preprint arXiv:1807.08024, 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
Environment Inference for Invariant Learning
E Creager, JH Jacobsen, R Zemel
ICML 2020 Workshop on Uncertainty & Robustness in Deep Learning, 2020
On disentangled representations learned from correlated data
F Träuble, E Creager, N Kilbertus, F Locatello, A Dittadi, A Goyal, ...
International Conference on Machine Learning, 10401-10412, 2021
Counterfactual data augmentation using locally factored dynamics
S Pitis, E Creager, A Garg
Advances in Neural Information Processing Systems 33, 3976-3990, 2020
Causal modeling for fairness in dynamical systems
E Creager, D Madras, T Pitassi, R Zemel
International Conference on Machine Learning, 2185-2195, 2020
Optimizing long-term social welfare in recommender systems: A constrained matching approach
M Mladenov, E Creager, O Ben-Porat, K Swersky, R Zemel, C Boutilier
International Conference on Machine Learning, 6987-6998, 2020
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
Gradient-based optimization of neural network architecture
W Grathwohl, E Creager, SKS Ghasemipour, R Zemel
Interpreting neural network classifications with variational dropout saliency maps
CH Chang, E Creager, A Goldenberg, D Duvenaud
Proc. NIPS 1 (2), 1-9, 2017
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
Musical source separation by coherent frequency modulation cues
E Creager
McGill University (Canada), 2016
MoCoDA: Model-based Counterfactual Data Augmentation
S Pitis, E Creager, A Mandlekar, A Garg
Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–15