265 citations
- Tufts UniversityUS3 papers
- University of AmsterdamNL3 papers
- Boston UniversityUS2 papers
- Oak Ridge National LaboratoryUS2 papers
- University of AlbertaCA2 papers
- Apple (United States)US1 paper
- Boston CollegeUS1 paper
- BT ResearchGB1 paper
- Center for Astrophysics Harvard & SmithsonianUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Heriot-Watt UniversityGB1 paper
- Laboratoire Amiénois de Mathématique Fondamentale et AppliquéeFR1 paper
26 papers
Separate versus pooled winsorization for group mean contrasts: a finite-sample theory
Chao Cheng, Chenshan Hu, Yukai Huang
Comparing group means is foundational to many statistical areas, including two-sample studies, randomized trials, and difference-in-differences designs, yet heavy-tailed outcomes c…
That's So FETCH: Fashioning Ensemble Techniques for LLM Classification in Civil Legal Intake and Referral
Quinten Steenhuis
Each year millions of people seek help for their legal problems by calling a legal aid program hotline, walking into a legal aid office, or using a lawyer referral service. The fir…
A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks
Kishan Sthankiya, Nagham Saeed, Greg McSorley +2
This survey uncovers the tension between AI techniques designed for energy saving in mobile networks and the energy demands those same techniques create. We compare modeling approa…
Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models
Quinten Steenhuis, Hannes Westermann
Legal intake, the process of finding out if an applicant is eligible for help from a free legal aid program, takes significant time and resources. In part this is because eligibili…
A Social Network of Russian "Kompromat"
Dmitry Zinoviev
"Kompromat" (the Russian word for "compromising material") has been efficiently used to harass Russian political and business elites since the days of the USSR. Online crowdsourcin…
A Family of Pairwise Multi-Marginal Optimal Transports that Define a Generalized Metric
Liang Mi, Azadeh Sheikholeslami, José Bento
The Optimal transport (OT) problem is rapidly finding its way into machine learning. Favoring its use are its metric properties. Many problems admit solutions with guarantees only…