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researcher

Ido Nachum

14 papers hereh-index 6198 citations16 works total

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

author position
  • first author7
  • middle author6
  • last author1

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG11
  • math.ST2
  • cs.IT1

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedLearners that Use Little Information

42 citations · 46 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.LG2024

Batch Normalization Decomposed

Ido Nachum, Marco Bondaschi, Michael Gastpar +1

\emph{Batch normalization} is a successful building block of neural network architectures. Yet, it is not well understood. A neural network layer with batch normalization comprises…

cs.LG2024

Which Algorithms Have Tight Generalization Bounds?

Michael Gastpar, Ido Nachum, Jonathan Shafer +1

We study which machine learning algorithms have tight generalization bounds. First, we present conditions that preclude the existence of tight generalization bounds. Specifically,…

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