Witten, Daniela

7 publications

JMLR 2024 Data Thinning for Convolution-Closed Distributions Anna Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela Witten

JMLR 2023 Revisiting Inference After Prediction Keshav Motwani, Daniela Witten

NeurIPSW 2019 Data-Driven Discovery of Functional Cell Types That Improve Models of Neural Activity Daniel Zdeblick, Eric Shea-Brown, Daniela Witten, Michael Buice

JMLR 2016 Convex Regression with Interpretable Sharp Partitions Ashley Petersen, Noah Simon, Daniela Witten

JMLR 2014 Learning Graphical Models with Hubs Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela Witten

JMLR 2014 Node-Based Learning of Multiple Gaussian Graphical Models Karthik Mohan, Palma London, Maryam Fazel, Daniela Witten, Su-In Lee

NeurIPS 2012 Structured Learning of Gaussian Graphical Models Karthik Mohan, Mike Chung, Seungyeop Han, Daniela Witten, Su-in Lee, Maryam Fazel