961 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Texas at AustinUS8 papers
- Cornell UniversityUS6 papers
- University of BristolGB6 papers
- Princeton UniversityUS5 papers
- University of California, BerkeleyUS5 papers
- Google (United States)US4 papers
- University of Southern CaliforniaUS4 papers
- Columbia UniversityUS3 papers
- Massachusetts Institute of TechnologyUS3 papers
- Pennsylvania State UniversityUS3 papers
- Purdue University West LafayetteUS3 papers
- Stanford UniversityUS3 papers
Showing 2021 · stat.MLShow all
2 papers · 2 filters
stat.ML2021★ 1 cited
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou +2
Empirical risk minimization (ERM) is the workhorse of machine learning, whether for classification and regression or for off-policy policy learning, but its model-agnostic guarante…
stat.ML2021★ 13 cited
Post-Contextual-Bandit Inference
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou +2
Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because they can both improve outcomes for study particip…