Jonathan Lorraine
Jonathan Lorraine
Research Scientist Intern, Facebook AI; PhD Candidate, University of Toronto; Vector Institute
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Optimizing millions of hyperparameters by implicit differentiation
J Lorraine, P Vicol, D Duvenaud
International Conference on Artificial Intelligence and Statistics, 1540-1552, 2020
652020
Stochastic hyperparameter optimization through hypernetworks
J Lorraine, D Duvenaud
31st Conference on Neural Information Processing Systems (NIPS 2017 …, 2018
642018
Self-tuning networks: Bilevel optimization of hyperparameters using structured best-response functions
M MacKay, P Vicol, J Lorraine, D Duvenaud, R Grosse
International Conference on Learning Representations, 2019
542019
Understanding neural architecture search techniques
G Adam, J Lorraine
arXiv preprint arXiv:1904.00438, 2019
162019
Complex Momentum for Learning in Games
J Lorraine, D Acuna, P Vicol, D Duvenaud
arXiv preprint arXiv:2102.08431, 2021
12021
Implicit Regularization in Overparameterized Bilevel Optimization
P Vicol, J Lorraine, D Duvenaud, R Grosse
International Conference on Machine Learning BOFM Workshop, 2021
2021
Using Bifurcations for Diversity in Differentiable Games
J Lorraine, J Parker-Holder, P Vicol, A Pacchiano, L Metz, T Kachman, ...
International Conference on Machine Learning BOFM Workshop, 2021
2021
JacNet: Learning Functions with Structured Jacobians
J Lorraine, S Hossain
International Conference on Machine Learning INNF Workshop, 2019
2019
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