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researcher

Jakob Heiss

UC Berkeley

14 papers hereh-index 6113 citations18 works total

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

author position
  • first author6
  • middle author8

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

fields
  • cs.LG5
  • stat.ML4
  • cs.GT3
  • math.OC1
  • stat.AP1
affiliations
  • UC Berkeley
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedMonotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment

7 citations · 23 across the 14 of their papers we have counts for

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2026

Implicit Regularization of Large Neural Networks via Mean-Field Formulation

Beatrice Acciaio, Jakob Heiss, Gudmund Pammer +1

We propose a mathematical framework to explain implicit regularization from early stopping during the training of overparametrized neural networks. In the mean-field limit, the par…

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