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researcher

Koby Bibas

11 papers hereh-index 6133 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author8
  • middle author2

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV3
  • cs.IR1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedA New Look at an Old Problem: A Universal Learning Approach to Linear Regression

28 citations · 52 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.LG2024

Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Data

Koby Bibas

Machine learning models have exhibited exceptional results in various domains. The most prevalent approach for learning is the empirical risk minimizer (ERM), which adapts the mode…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.