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Katie Everett
Katie Everett
Google Research
Bestätigte E-Mail-Adresse bei google.com
Titel
Zitiert von
Zitiert von
Jahr
Disentanglement via mechanism sparsity regularization: A new principle for nonlinear ICA
S Lachapelle, P Rodriguez, Y Sharma, KE Everett, R Le Priol, A Lacoste, ...
Conference on Causal Learning and Reasoning, 428-484, 2022
1002022
GFlowNets and variational inference
N Malkin, S Lahlou, T Deleu, X Ji, E Hu, K Everett, D Zhang, Y Bengio
arXiv preprint arXiv:2210.00580, 2022
372022
GFlowNet-EM for learning compositional latent variable models
EJ Hu, N Malkin, M Jain, KE Everett, A Graikos, Y Bengio
International Conference on Machine Learning, 13528-13549, 2023
222023
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description
A Kumok, A Fabrikant, AM Dai, C Kamath, C Stanton, D Desfontaines, ...
16*2020
Small-scale proxies for large-scale transformer training instabilities
M Wortsman, PJ Liu, L Xiao, K Everett, A Alemi, B Adlam, JD Co-Reyes, ...
arXiv preprint arXiv:2309.14322, 2023
82023
Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
S Lachapelle, PR López, Y Sharma, K Everett, RL Priol, A Lacoste, ...
arXiv preprint arXiv:2401.04890, 2024
32024
Cycles in Causal Learning
K Everett, I Fischer
ICLR Workshop on Causal Learning for Decision Making, 2020
2020
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)(preprint)
S Bavadekar, A Dai, J Davis, D Desfontaines, I Eckstein, K Everett, ...
2020
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