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06/17/2022
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling
Supervised learning tasks such as cancer survival prediction from gigapi...
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10/11/2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
The yaglm package aims to make the broader ecosystem of modern generaliz...
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07/07/2021
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property
Structured sparsity is an important part of the modern statistical toolk...
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12/30/2020
Learning Sparsity and Block Diagonal Structure in Multi-View Mixture Models
Scientific studies increasingly collect multiple modalities of data to i...
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12/01/2019
Joint and individual analysis of breast cancer histologic images and genomic covariates
A key challenge in modern data analysis is understanding connections bet...
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08/07/2018
Fluctuation bounds for continuous time branching processes and nonparametric change point detection in growing networks
Motivated by applications, both for modeling real world systems as well ...
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07/17/2018
An exposition of the false confidence theorem
A recent paper presents the "false confidence theorem" (FCT) which has p...
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04/03/2017
