Decision-time Uncertainty

Decision-Time Uncertainty is a type of uncertainty estimation that characterizes the confidence or ambiguity in a model's prediction at the moment of decision-making, distinguishing itself by focusing on the uncertainty derived from the final output distribution or decision boundary rather than on model parameters or data noise.

75

Publications

4.4K

Citations

219

Authors

128

Institutions

Publications per year

2017–2026

33

Authors

219

  1. MN
    Michael N. Shadlen

    Howard Hughes Medical Institute, United States

    4 publications · 634 citations

    4

    h-index

  2. EM
    Eric M. Trautmann

    Howard Hughes Medical Institute, United States

    3 publications · 78 citations

    3

    h-index

  3. AZ
    Ariel Zylberberg

    Columbia University, United States

    3 publications · 78 citations

    3

    h-index

  4. YH
    Yunhe Hou

    University of Hong Kong, Hong Kong SAR China

    3 publications · 55 citations

    3

    h-index

  5. NA
    Natalie A Steinemann

    Columbia University, United States

    3 publications · 78 citations

    3

    h-index

1–5 of 219

Venues

  1. IEEE Transactions on Power Systems

    3 publications · 183 citations

    3

    h-index

  2. eLife

    3 publications · 210 citations

    3

    h-index

  3. IEEE Systems Journal

    ISJ · 2 publications · 40 citations

    2

    h-index

  4. American Economic Review

    2 publications · 482 citations

    2

    h-index

  5. Psychological Review

    2 publications · 78 citations

    2

    h-index

1–5