
Adarsh Subbaswamy
@_asubbaswamy
Computer scientist working on improving the reliability and safety of AI/ML in healthcare | PhD from @JohnsHopkins
ID: 897661770273312768
https://asubbaswamy.github.io/ 16-08-2017 03:30:18
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Today, raia hadsell, Kyunghyun Cho and I are happy to announce the creation of a new journal: Transaction on Machine Learning Research (TMLR) Learn more in our post: medium.com/@hugo_larochel…





7th ML4H will take place November 28 in New Orleans + virtual, collocated with NeurIPS submit your work by September 1 CfP: ml4health.github.io/2022/call_for_… full paper proceedings in PMLR (last year's proceedings.mlr.press/v158/ ) + extended abstract track Hope to see many irl in November


Our #UAI2023 paper is on detecting novel subgroups (aka classes/categories) when distribution of non-novel data shifts. If this sounds interesting, or you’re wondering what it has to do with unicorns, check out our poster/paper/drop a line. w/ Suchi Saria proceedings.mlr.press/v216/wald23a.h…




Our framework brings together ideas from causal inference and statistical process control. Please drop by if you're interested! Preprint here: arxiv.org/abs/2311.11463 It was wonderful working on this with coauthors from UCSF and FDA! Romain Pirracchio Adarsh Subbaswamy Harvineet Singh

