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Ryan P. Adams
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I am interested in machine learning, artificial intelligence, and computational statistics, with applications across science and engineering. I have broad interests but often work on probabilistic methods and approximate Bayesian inference. I am the director of the Undergraduate Certificate in Statistics and Machine Learning. I co-founded Whetlab (sold to Twitter in 2015) and formerly co-hosted the Talking Machines podcast
Papers133 papers
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ICLR 2021, (2021)
ICML, pp.10638-10647, (2020)
ICLR, (2020)
Tianju Xue,Alex Beatson, Maurizio Chiaramonte,Geoffrey Roeder,Jordan T Ash, Yigit Menguc, Sigrid Adriaenssens,Ryan P Adams, Sheng Mao
Soft matter, no. 32 (2020): 7524-7534
NIPS 2020, (2020)
ICLR, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 10353-10363
Cited by6EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 4978-4990
ACS central science, no. 4 (2019): 700-708
ANNALS OF APPLIED STATISTICS, no. 3 (2019): 1884-1926
international conference on machine learning, (2019)
arXiv: Learning, (2018)
Rafael Gómez-Bombarelli,David K. Duvenaud,José Miguel Hernández-Lobato, Jorge Aguilera-Iparraguirre, Timothy D. Hirzel,Ryan P. Adams,Alán Aspuru-Guzik
ACS central science, no. 2 (2018): 268-276
Yakir A Reshef, Hilary K Finucane,David R Kelley,Alexander Gusev, Dylan Kotliar,Jacob C Ulirsch,Farhad Hormozdiari, Joseph Nasser, Luke O'Connor,Bryce van de Geijn,Po-Ru Loh,Sharon R Grossman
Nature genetics, no. 10 (2018): 1483-1493
arXiv: Chemical Physics, (2018)
Cited by1Bibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 8782-8791
arXiv: Machine Learning, (2018)
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