Artikel mit Open-Access-Mandaten - Clare LyleWeitere Informationen
Verfügbar: 6
Invariant causal prediction for block mdps
A Zhang, C Lyle, S Sodhani, A Filos, M Kwiatkowska, J Pineau, Y Gal, ...
International Conference on Machine Learning, 11214-11224, 2020
Mandate: European Commission
On the benefits of invariance in neural networks
C Lyle, M van der Wilk, M Kwiatkowska, Y Gal, B Bloem-Reddy
arXiv preprint arXiv:2005.00178, 2020
Mandate: European Commission
A Speedy Performance Estimator for Neural Architecture Search
B Ru, C Lyle, L Schut, M van der Wilk, Y Gal
NeurIPS 2021, 2020
Mandate: UK Engineering and Physical Sciences Research Council
Learning dynamics and generalization in deep reinforcement learning
C Lyle, M Rowland, W Dabney, M Kwiatkowska, Y Gal
International Conference on Machine Learning, 14560-14581, 2022
Mandate: European Commission
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
C Lyle, A Mehrjou, P Notin, A Jesson, S Bauer, Y Gal, P Schwab
International Conference on Machine Learning, 23170-23189, 2023
Mandate: UK Engineering and Physical Sciences Research Council
Unpacking information bottlenecks: Surrogate objectives for deep learning
A Kirsch, C Lyle, Y Gal
arXiv preprint arXiv:2003.12537, 2020
Mandate: UK Engineering and Physical Sciences Research Council
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