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Jonathan Lorraine
Jonathan Lorraine
Research Scientist Intern, NVIDIA; PhD Candidate, University of Toronto; Vector Institute
Подтвержден адрес электронной почты в домене cs.toronto.edu - Главная страница
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Процитировано
Процитировано
Год
Optimizing millions of hyperparameters by implicit differentiation
J Lorraine, P Vicol, D Duvenaud
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
1322020
Stochastic hyperparameter optimization through hypernetworks
J Lorraine, D Duvenaud
Advances in Neural Information Processing Systems (NeurIPS) Meta-learning …, 2018
852018
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 (ICLR), 2019
812019
Understanding neural architecture search techniques
G Adam, J Lorraine
arXiv preprint arXiv:1904.00438, 2019
292019
Complex Momentum for Optimization in Games
J Lorraine, D Acuna, P Vicol, D Duvenaud
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
3*2022
Meta-learning to Improve Pre-training
A Raghu, J Lorraine, S Kornblith, M McDermott, DK Duvenaud
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
32021
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 (ICLR) Beyond First Order …, 2021
22021
Lyapunov Exponents for Diversity in Differentiable Games
J Lorraine, P Vicol, J Parker-Holder, T Kachman, L Metz, J Foerster
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022
12022
Implicit Regularization in Overparameterized Bilevel Optimization
P Vicol, J Lorraine, D Duvenaud, R Grosse
International Conference on Machine Learning (ICLR) Beyond First Order …, 2021
12021
JacNet: Learning Functions with Structured Jacobians
J Lorraine, S Hossain
International Conference on Machine Learning (ICML) Invertible Neural …, 2019
12019
Input Convex Gradient Networks
J Richter-Powell, J Lorraine, B Amos
Advances in Neural Information Processing Systems (NeurIPS) Optimal …, 2021
2021
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