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Smitha Milli
Smitha Milli
Cornell Tech
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Inverse reward design
D Hadfield-Menell, S Milli, P Abbeel, S Russell, A Dragan
NeurIPS 2016, 2016
4282016
The Social Cost of Strategic Classification
S Milli, J Miller, AD Dragan, M Hardt
FAT* 2019, 2019
1902019
Model Reconstruction from Model Explanations
S Milli, L Schmidt, AD Dragan, M Hardt
FAT* 2019, 2019
1832019
Reward-rational (implicit) choice: A unifying formalism for reward learning
HJ Jeon, S Milli, AD Dragan
NeurIPS 2020, 2020
1642020
Strategic classification is causal modeling in disguise
J Miller, S Milli, M Hardt
International Conference on Machine Learning, 6917-6926, 2020
1112020
Should robots be obedient?
S Milli, D Hadfield-Menell, A Dragan, S Russell
IJCAI 2017, 2017
762017
A rational reinterpretation of dual-process theories
S Milli, F Lieder, TL Griffiths
Cognition, 2021
632021
Value-laden Disciplinary Shifts in Machine Learning
R Dotan, S Milli
FAT* 2020, 2020
502020
Beyond canonical texts: A computational analysis of fanfiction
S Milli, D Bamman
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
492016
When does bounded-optimal metareasoning favor few cognitive systems?
S Milli, F Lieder, TL Griffiths
AAAI 2017, 4422-4428, 2017
462017
From Optimizing Engagement to Measuring Value
S Milli, L Belli, M Hardt
FaccT, 2021
452021
Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media
S Milli, M Carroll, Y Wang, S Pandey, S Zhao, AD Dragan
arXiv preprint arXiv:2305.16941, 2023
22*2023
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning
S Milli, AD Dragan
UAI 2019, 2019
222019
Interpretable and pedagogical examples
S Milli, P Abbeel, I Mordatch
arXiv preprint arXiv:1711.00694, 2017
192017
Strategic adaptation to classifiers: A causal perspective
J Miller, S Milli, M Hardt
ICML 2020, 2019
102019
Choosing the right weights: Balancing value, strategy, and noise in recommender systems
S Milli, E Pierson, N Garg
arXiv preprint arXiv:2305.17428, 2023
52023
Causal inference struggles with agency on online platforms
S Milli, L Belli, M Hardt
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
32022
Augmenting course material with open access textbooks
S Milli, MA Hearst
Proceedings of the 11th Workshop on Innovative Use of NLP for Building …, 2016
32016
Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media Emilie Flamme
S Milli, M Carroll, Y Wang, S Pandey, S Zhao, A Dragan
2
What We Know About Using Non-Engagement Signals in Content Ranking
T Cunningham, S Pandey, L Sigerson, J Stray, J Allen, B Barrilleaux, ...
arXiv preprint arXiv:2402.06831, 2024
12024
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