Nando de Freitas
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Nando de Freitas is a person.
References
2024
- (Bruce, Dennis et al., 2024) ⇒ Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, and Tim Rocktäschel. (2024). “Genie: Generative Interactive Environments.”
2023
- (Gulcehre et al., 2023) ⇒ Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, Ksenia Konyushkova, Lotte Weerts, Abhishek Sharma, Aditya Siddhant, Alex Ahern, Miaosen Wang, Chenjie Gu, Wolfgang Macherey, Arnaud Doucet, Orhan Firat, and Nando de Freitas. (2023). “Reinforced Self-Training (ReST) for Language Modeling.” In: arXiv preprint arXiv:2308.08998. doi:10.48550/arXiv.2308.08998
2018
- (Wikipedia, 2018) ⇒ https://en.wikipedia.org/wiki/Nando_de_Freitas Retrieved:2018-3-20.
- Nando de Freitas is a Professor of Computer Science at the University of Oxford. He is also a Fellow of Linacre College, Oxford. De Freitas is noted as an authority in the field of machine learning, and in particular in the subfields of neural networks, Bayesian inference and Bayesian optimization, and deep learning.
2016
- (Andrychowicz et al., 2016) ⇒ Marcin Andrychowicz, Misha Denil, Sergio Gómez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, and Nando de Freitas. (2016). “Learning to Learn by Gradient Descent by Gradient Descent.” In: Proceedings of the 30th International Conference on Neural Information Processing Systems. ISBN:978-1-5108-3881-9
2015
- (Kotzias et al., 2015) ⇒ Dimitrios Kotzias, Misha Denil, Nando de Freitas, and Padhraic Smyth. (2015). “From Group to Individual Labels Using Deep Features.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783380
2010
- (Brochu et al., 2010) ⇒ Eric Brochu, Vlad M. Cora, and Nando De Freitas. (2010). “A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning." arXiv preprint arXiv:1012.2599
2009
- (Doucet & de Freitas, 2009) ⇒ Arnaud Doucet, and Nando de Freitas. (2009). “Sequential Monte-Carlo Methods.” Tutorial at NIPS 2009.
2003
- (Andrieu et al., 2003) ⇒ Christophe Andrieu, Nando De Freitas, Arnaud Doucet, and Michael I. Jordan. (2003). “An Introduction to MCMC for Machine Learning.” In: Machine Learning, 50(1). doi:10.1023/A:1020281327116
2001
- (Doucet & al, 2001) ⇒ Arnaud Doucet, Nando de Freitas, and Neil Gordon (editors). (2001). “Sequential Monte Carlo methods in practice." Springer Science & Business Media.
Nando de Freitas is a person.
- See: Deep Learning, Zimbabwe, England, University of British Columbia, Oxford University, University of The Witwatersrand, Trinity College, Cambridge, Andrew J. Gee, Mahesan Niranjan, Christophe Andrieu, Arnaud Doucet.