Related CPCP Publications
Learning high-dimensional generalized linear autoregressive models. Hall E, Raskutti G, Willett R. IEEE Transactions on Information Theory 65(4):2401-22, 2019
Publication detailsHawkes process modeling of adverse drug reactions with longitudinal observational data. Bao Y, Kuang Z, Peissig P, Page D, Willett R. Proceedings of Machine Learning for Healthcare, 2017
Publication detailsMachine learning consensus scoring improves performance across targets in structure-based virtual screening. Ericksen S, Wu H, Zhang H, Michael L, Newton M, Hoffmann FM, Wildman S. Journal of Chemical Information and Modeling 57(7):1579–1590, 2017
Publication detailsA review of active learning approaches to experimental design for uncovering biological networks. Sverchkov Y, Craven M. PLoS Computational Biology, 2017
Publication detailsAdaptive signal recovery on graphs via harmonic analysis for experimental design in neuroimaging. Kim WH, Hwang SJ, Adluru N, Johnson SC, Singh V. Proceedings of the 14th European Conference on Computer Vision (ECCV), Volume 9910 Lecture Notes in Computer Science, 2016
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Resources
CPCP 2018 Retreat: Graph Total Variation Regularization for fMRI Neural Decoding Symposium Video
CPCP Retreat 2016: Multi-Armed Bandit Algorithms and Applications to Experiment Selection Symposium Video
CPCP Retreat 2016: Using Active Learning to Phenotype Electronic Medical Records Symposium Video