Caroline Uhler
Caroline Uhler (born 1983) is a Swiss statistician working in the field of machine learning and applications in genomics. Her research focuses on developing methods for causal inference to infer regulatory relationships from different data modalities (transcriptomic, proteomic, structural, etc.). She is a Full Professor in the Department of Electrical Engineering and Computer Science and the Institute for Data, Systems and Society at the Massachusetts Institute of Technology. In addition, she is a Core Institute Member at the Broad Institute, where she directs the Eric and Wendy Schmidt Center. Provided by Wikipedia
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Geometry of discrete copulas by Perrone, Elisa, Solus, Liam, Uhler, Caroline, Uhler, Caroline
Published 2021
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Learning directed acyclic graph models based on sparsest permutations by Raskutti, Garvesh, Uhler, Caroline
Published 2021
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Maximum Likelihood Estimation for Totally Positive Log‐Concave Densities by Robeva, Elina, Uhler, Caroline
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Size of interventional Markov equivalence classes in random DAG models by Uhler, Caroline, Squires, Chandler
Published 2021
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Causal Structure Learning: A Combinatorial Perspective by Squires, Chandler, Uhler, Caroline
Published 2022
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Scalable unbalanced optimal transport using generative adversarial networks by Yang, Karren Dai, Uhler, Caroline
Published 2021
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Mechano-genomic regulation of coronaviruses and its interplay with ageing by Uhler, Caroline, Shivashankar, G. V.
Published 2021
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Nuclear Mechanopathology and Cancer Diagnosis by Uhler, Caroline, Shivashankar, G.V.
Published 2021
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Chromosome Intermingling: Mechanical Hotspots for Genome Regulation by Uhler, Caroline, Shivashankar, G.V.
Published 2021
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