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researcher

Mark W. Schmidt

58 papers hereh-index 4211.3k citations100 works total

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

author position
  • first author6
  • middle author28
  • last author24

Across the 58 of 58 papers where every author was matched, so the position is known.

fields
  • cs.LG28
  • math.OC10
  • stat.ML10
  • cs.CV6
  • math.NA2
  • cs.SI1

identity via Semantic Scholar / OpenAlex

activity
20112023
most citedA Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets

538 citations · 2.3k across the 54 of their papers we have counts for

collaborators
Showing 2020 · stat.MLShow all

1 paper · 2 filters

stat.ML2020★ 4 cited

Handling the Positive-Definite Constraint in the Bayesian Learning Rule

Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan

The Bayesian learning rule is a natural-gradient variational inference method, which not only contains many existing learning algorithms as special cases but also enables the desig…

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