Presentations

Subset (including informal lab/group talks) with public presentation materials that may be of general interest:

Approximate Conditional Coverage via Neural Model Approximations*
    Pre-recorded presentation video (5 minute overview)
    Presentation slides (5 minute overview)
    Poster

Workshop on Distribution-Free Uncertainty Quantification at the Thirty-ninth International Conference on Machine Learning (ICML 2022).
    Baltimore, Maryland, July 23, 2022
*Note: Version 2 of the paper adds an additional core approach (the Venn-ADMIT Predictor) that extends the idea of ADMIT prediction sets from version 1.

Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition
    Pre-recorded presentation video
    Presentation slides
    Poster
    FAQ

The Conference on Empirical Methods in Natural Language Processing, November 7, 2021

Coarse-to-Fine Memory Matching for Joint Retrieval and Classification (Abstract)
    Summary handout (7 slides)
    Presentation slides

UMass BioNLP group seminar: Data meets Healthcare, April 5, 2021
    University of Massachusetts (Amherst and Lowell)

Coarse-to-Fine Memory Matching for Joint Retrieval and Classification (Abstract)
    Summary handout (7 slides)
    Presentation slides

Boston Children's Hospital/Harvard Medical School AI and ML Journal Club, March 2, 2021
    Boston Children's Hospital/Harvard Medical School

Non-parametric Memory Matching (Abstract)
    Summary handout (8 slides)
    Presentation slides

Lab Meeting Talk (virtual); Dr. Kohane's lab, Department of Biomedical Informatics, February 3, 2021
    Harvard University

"Exemplar Auditing for Multi-Label Biomedical Text Classification" (presentation slides)

Junior Investigators Advanced Biomedical Computation (ABC) Series, April 27, 2020
    Brigham and Women's Hospital (BWH) Program in Precision Medicine and the BWH Division of Computational Pathology