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Alexander Nicholas D'Amour
Research Scientist, Google
Joined
July 2019
Names
Alexander Nicholas D'Amour
,
Alexander D'Amour
Emails
****@berkeley.edu
(Confirmed)
,
****@google.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Research Scientist
Google
(google.com)
2018
–
Present
Visiting Assistant Professor
University of California Berkeley
(berkeley.edu)
2016
–
2018
PhD student
Harvard University
(harvard.edu)
2010
–
2017
Undergrad student
Harvard University
(harvard.edu)
2004
–
2008
Advisors, Relations & Conflicts
PhD Advisor
Edoardo
2010
–
2016
Expertise
Causal Inference
,
High Dimensional
Present
Causal Inference
,
Machine Learning
Present
Publications
Deconfounding Scores and Representation Learning for Causal Effect Estimation with Weak Overlap
Oscar Clivio
,
Alexander Nicholas D'Amour
,
Alexander Franks
,
David Bruns-Smith
,
Christopher C. Holmes
,
Avi Feller
AISTATS 2026 Poster
Readers:
Everyone
Expected Reward Prediction, with Applications to Model Routing
Kenan Hasanaliyev
,
Silas Alberti
,
Jenny Hamer
,
Dheeraj Rajagopal
,
Kevin Robinson
,
Jasper Snoek
,
Victor Veitch
,
Alexander Nicholas D'Amour
Submitted to ICLR 2026
Readers:
Everyone
Why Transformers Succeed and Fail at Compositional Generalization: Composition Equivalence and Module Coverage
Purva Pruthi
,
Andrew Yuan
,
Alexander Nicholas D'Amour
,
David Jensen
Submitted to ICLR 2026
Readers:
Everyone
SemanticDPP: Efficient Uncertainty Quantification in LLMs
Jenny Hamer
,
Jasper Snoek
,
Alexander Nicholas D'Amour
,
Ulrich Rueckert
,
Dheeraj Rajagopal
,
Victor Veitch
,
Jie Ren
,
Kevin Robinson
Submitted to ICLR 2026
Readers:
Everyone
Expected Reward Prediction, with Applications to Model Routing
Kenan Hasanaliyev
,
Silas Alberti
,
Jenny Hamer
,
Dheeraj Rajagopal
,
Kevin Robinson
,
Jasper Snoek
,
Victor Veitch
,
Alexander Nicholas D'Amour
MoFA Poster
Readers:
Everyone
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Stephen R Pfohl
,
Natalie Harris
,
Chirag Nagpal
,
David Madras
,
Vishwali Mhasawade
,
Olawale Elijah Salaudeen
,
Awa Dieng
,
Shannon Sequeira
,
Santiago Eduardo Arciniegas
,
Lillian Sung
,
Nnamdi Peter Okechukwu Ezeanochie
,
Heather Cole-Lewis
,
Katherine A Heller
,
Sanmi Koyejo
,
Alexander Nicholas D'Amour
NeurIPS 2025 poster
Readers:
Everyone
When Can Proxies Improve the Sample Complexity of Preference Learning?
Yuchen Zhu
,
Daniel Augusto de Souza
,
Zhengyan Shi
,
Mengyue Yang
,
Pasquale Minervini
,
Matt Kusner
,
Alexander Nicholas D'Amour
ICML 2025 poster
Readers:
Everyone
Theoretical guarantees on the best-of-n alignment policy
Ahmad Beirami
,
Alekh Agarwal
,
Jonathan Berant
,
Alexander Nicholas D'Amour
,
Jacob Eisenstein
,
Chirag Nagpal
,
Ananda Theertha Suresh
ICML 2025 poster
Readers:
Everyone
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
,
Alexis Bellot
,
Amal Rannen-Triki
,
Alan Malek
,
Isabela Albuquerque
,
Arthur Gretton
,
Alexander Nicholas D'Amour
,
Silvia Chiappa
NeurIPS 2024 poster
Readers:
Everyone
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking
Jacob Eisenstein
,
Chirag Nagpal
,
Alekh Agarwal
,
Ahmad Beirami
,
Alexander Nicholas D'Amour
,
Krishnamurthy Dj Dvijotham
,
Adam Fisch
,
Katherine A Heller
,
Stephen Robert Pfohl
,
Deepak Ramachandran
,
Peter Shaw
,
Jonathan Berant
COLM
Readers:
Everyone
View all 31 publications
Co-Authors
Adam Fisch
Ahmad Beirami
Alan Karthikesalingam
Alan Malek
Alekh Agarwal
Alexander Brown
Alexander Franks
Alexey A. Gritsenko
Alexis Bellot
Amal Rannen-Triki
Ananda Theertha Suresh
Anant Nawalgaria
Andreas Peter Steiner
Andrew C. Miller
Andrew Yuan
Arthur Gretton
Avi Feller
Awa Dieng
Chirag Nagpal
Christopher C. Holmes
Chrsitina Chen
Cory Y McLean
D. Sculley
Daniel Augusto de Souza
David Bruns-Smith
View all 106 co-authors