◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Daniel J. Beutel

12 papers hereh-index 91.8k citations14 works total

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

author position
  • middle author9

Across the 9 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CL1
  • cs.DC1
  • cs.IR1
  • cs.SD1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedMedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation

173 citations · 364 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.LG2023★ 25 cited

Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates

Chenyang Ma, Xinchi Qiu, Daniel J. Beutel +1

The privacy-sensitive nature of decentralized datasets and the robustness of eXtreme Gradient Boosting (XGBoost) on tabular data raise the needs to train XGBoost in the context of…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.