Web: http://arxiv.org/abs/2207.06529

Sept. 16, 2022, 1:13 a.m. | Peter Salamon, David Salamon, V. Adrian Cantu, Michelle An, Tyler Perry, Robert A. Edwards, Anca M. Segall

stat.ML updates on arXiv.org arxiv.org

This paper investigates the post-hoc calibration of confidence for
"exploratory" machine learning classification problems. The difficulty in these
problems stems from the continuing desire to push the boundaries of which
categories have enough examples to generalize from when curating datasets, and
confusion regarding the validity of those categories. We argue that for such
problems the "one-versus-all" approach (top-label calibration) must be used
rather than the "calibrate-the-full-response-matrix" approach advocated
elsewhere in the literature. We introduce and test four new algorithms designed …

arxiv classification confidence kernel

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Research Engineer - VFX, Neural Compositing

@ Flawless | Los Angeles, California, United States

[Job-TB] Senior Data Engineer

@ CI&T | Brazil

Data Analytics Engineer

@ The Fork | Paris, France