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researcher

Mark Sellke

28 papers hereh-index 211.7k citations86 works total

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

author position
  • sole author4
  • first author3
  • middle author4
  • last author17

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • math.PR12
  • math.CO3
  • math.ST3
  • cs.GT2
  • math-ph2
  • stat.ML2

identity via Semantic Scholar / OpenAlex

works on
bandit algorithms 1bayesian learning 1online decision making 1regret analysis 1thompson sampling 1

From the 1 of 28 linked papers with an AI index.

activity
20242026
collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2026

Thompson Sampling Is 2-Competitive for Mistakes

Mark Sellke, Gregory Valiant

The paper proves that Thompson sampling incurs at most twice the expected number of suboptimal arm selections as any other policy in Bayesian bandit settings, under independent arm…

stat.ML2024

No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

Tanishq Kumar, Kevin Luo, Mark Sellke

The existence of "lottery tickets" arXiv:1803.03635 at or near initialization raises the tantalizing question of whether large models are necessary in deep learning, or whether spa…

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