Projects per year
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Projects
- 1 Finished
RI: Small: Parallel Markov Chain Monte Carlo Methods for Scalable Bayesian Inference
NSF - National Science Foundation
9/1/17 → 8/31/20
Project: Research project
Research Output
Approximate inference for constructing astronomical catalogs from images
The Voleon Group, Sep 2019, In : Annals of Applied Statistics. 13, 3, p. 1884-1926 43 p.Research output: Contribution to journal › Article
Open Access
3
Scopus
citations
Efficient optimization of loops and limits with randomized telescoping sums
Beatson, A. & Adams, R. P., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 836-854 19 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Non-vacuous generalization bounds at the Im-AGeNet scale: A Pac-Bayesian compression approach
Zhou, W., Veitch, V., Austern, M., Adams, R. P. & Orbanz, P., 2019.Research output: Contribution to conference › Paper
3
Scopus
citations
Non-vacuous generalization bounds at the Im-AGeNet scale: A Pac-Bayesian compression approach
Zhou, W., Veitch, V., Austern, M., Adams, R. P. & Orbanz, P., Jan 1 2019.Research output: Contribution to conference › Paper
Rapid Prediction of Electron-Ionization Mass Spectrometry Using Neural Networks
Wei, J. N., Belanger, D., Adams, R. P. & Sculley, D., Apr 24 2019, In : ACS Central Science. 5, 4, p. 700-708 9 p.Research output: Contribution to journal › Article
Open Access
11
Scopus
citations