Generalizing Beyond the Training Data: New Theory and Algorithms for Optimal Transfer Learning
Reese Pathak
EECS Department, University of California, Berkeley
Technical Report No. UCB/EECS-2025-137
June 18, 2025
http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-137.pdf
Advisors: Michael Jordan and Martin Wainwright
BibTeX citation:
@phdthesis{Pathak:EECS-2025-137,
Author= {Pathak, Reese},
Title= {Generalizing Beyond the Training Data: New Theory and Algorithms for Optimal Transfer Learning},
School= {EECS Department, University of California, Berkeley},
Year= {2025},
Month= {Jun},
Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-137.html},
Number= {UCB/EECS-2025-137},
}
EndNote citation:
%0 Thesis %A Pathak, Reese %T Generalizing Beyond the Training Data: New Theory and Algorithms for Optimal Transfer Learning %I EECS Department, University of California, Berkeley %D 2025 %8 June 18 %@ UCB/EECS-2025-137 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-137.html %F Pathak:EECS-2025-137