136 citations · 357 across the 20 of their papers we have counts for
8 papers · 1 filter
A Learning Based Hypothesis Test for Harmful Covariate Shift
Tom Ginsberg, Zhongyuan Liang, Rahul G. Krishnan
The ability to quickly and accurately identify covariate shift at test time is a critical and often overlooked component of safe machine learning systems deployed in high-risk doma…
Learning predictive checklists from continuous medical data
Yukti Makhija, Edward De Brouwer, Rahul G. Krishnan
Checklists, while being only recently introduced in the medical domain, have become highly popular in daily clinical practice due to their combined effectiveness and great interpre…
Partial Identification of Treatment Effects with Implicit Generative Models
Vahid Balazadeh, Vasilis Syrgkanis, Rahul G. Krishnan
We consider the problem of partial identification, the estimation of bounds on the treatment effects from observational data. Although studied using discrete treatment variables or…
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding
Weiming Ren, Ruijing Zeng, Tongzi Wu +2
There are several opportunities for automation in healthcare that can improve clinician throughput. One such example is assistive tools to document diagnosis codes when clinicians…
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen, Chengkuan Chen, Yicong Li +4
Vision Transformers (ViTs) and their multi-scale and hierarchical variations have been successful at capturing image representations but their use has been generally studied for lo…
Hierarchical Optimal Transport for Comparing Histopathology Datasets
Anna Yeaton, Rahul G. Krishnan, Rebecca Mieloszyk +2
Scarcity of labeled histopathology data limits the applicability of deep learning methods to under-profiled cancer types and labels. Transfer learning allows researchers to overcom…
Mixture-of-experts VAEs can disregard variation in surjective multimodal data
Jannik Wolff, Tassilo Klein, Moin Nabi +2
Machine learning systems are often deployed in domains that entail data from multiple modalities, for example, phenotypic and genotypic characteristics describe patients in healthc…
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Richard J. Chen, Rahul G. Krishnan
Tissue phenotyping is a fundamental task in learning objective characterizations of histopathologic biomarkers within the tumor-immune microenvironment in cancer pathology. However…