Nir Rosenfeld
Scholar

Nir Rosenfeld

Google Scholar ID: WTlgnYkAAAAJ
Technion
Machine LearningHuman BehaviorStrategic ClassificationPerformative Prediction
Citations & Impact
All-time
Citations
663
 
H-index
15
 
i10-index
16
 
Publications
20
 
Co-authors
41
list available
Contact
Resume (English only)
Academic Achievements
  • Published multiple papers such as 'Machine Learning Should Maximize Welfare, Not (Only) Accuracy' and 'Strategic Classification with Non-Linear Classifiers' in top conferences like NeurIPS and ICML.
Research Experience
  • Before joining Technion, was a postdoc at Harvard SEAS, working with David Parkes and Yaron Singer. Also a fellow of CRCS and HDSI. Long-term research intern at Microsoft Research in Israel, working with Elad Yom-Tov and Yishay Mansour.
Education
  • Received BSc (CS and Psychology), MA (CS), and PhD (CS) from the Hebrew University of Jerusalem, advised by Amir Globerson.
Background
  • Research interests include: modeling and predicting human behavior and social dynamics, learning to support human decision-making, strategic classification and performative prediction, training for human objectives and with humans in the loop, implications of deploying predictive models in social contexts.
Miscellany
  • Looking for strong, curious students interested in conducting research at the intersection of machine learning and human behavior.