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Adrien Majka

2 papers hereh-index 223 citations3 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • math.PR1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedHMC and underdamped Langevin united in the unadjusted convex smooth case

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2025

The Strong, Weak and Benign Goodhart's law. An independence-free and paradigm-agnostic formalisation

Adrien Majka, El-Mahdi El-Mhamdi

Goodhart's law is a famous adage in policy-making that states that ``When a measure becomes a target, it ceases to be a good measure''. As machine learning models and the optimisat…

math.PR2022★ 6 cited

HMC and underdamped Langevin united in the unadjusted convex smooth case

Nicolaï Gouraud, Pierre Le Bris, Adrien Majka +1

We consider a family of unadjusted generalized HMC samplers, which includes standard position HMC samplers and discretizations of the underdamped Langevin process. A detailed analy…

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