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Smitha Milli
Smitha Milli
Cornell Tech
berkeley.edu의 이메일 확인됨 - 홈페이지
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Inverse reward design
D Hadfield-Menell, S Milli, P Abbeel, S Russell, A Dragan
NeurIPS 2016, 2016
3332016
The Social Cost of Strategic Classification
S Milli, J Miller, AD Dragan, M Hardt
FAT* 2019, 2019
1392019
Model Reconstruction from Model Explanations
S Milli, L Schmidt, AD Dragan, M Hardt
FAT* 2019, 2019
1282019
Reward-rational (implicit) choice: A unifying formalism for reward learning
HJ Jeon, S Milli, AD Dragan
NeurIPS 2020, 2020
1022020
Strategic classification is causal modeling in disguise
J Miller, S Milli, M Hardt
International Conference on Machine Learning, 6917-6926, 2020
772020
Should robots be obedient?
S Milli, D Hadfield-Menell, A Dragan, S Russell
IJCAI 2017, 2017
612017
A rational reinterpretation of dual-process theories
S Milli, F Lieder, TL Griffiths
Cognition, 2021
482021
When does bounded-optimal metareasoning favor few cognitive systems?
S Milli, F Lieder, TL Griffiths
AAAI 2017, 4422-4428, 2017
452017
Beyond canonical texts: A computational analysis of fanfiction
S Milli, D Bamman
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
402016
Value-laden Disciplinary Shifts in Machine Learning
R Dotan, S Milli
FAT* 2020, 2020
352020
From Optimizing Engagement to Measuring Value
S Milli, L Belli, M Hardt
FaccT, 2021
242021
Interpretable and pedagogical examples
S Milli, P Abbeel, I Mordatch
arXiv preprint arXiv:1711.00694, 2017
192017
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning
S Milli, AD Dragan
UAI 2019, 2019
162019
Strategic adaptation to classifiers: A causal perspective
J Miller, S Milli, M Hardt
ICML 2020, 2019
92019
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
Causal Inference Struggles with Agency on Online Platforms
S Milli, L Belli, M Hardt
2022 ACM Conference on Fairness, Accountability, and Transparency, 357-365, 2022
12022
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems
S Milli, E Pierson, N Garg
arXiv preprint arXiv:2305.17428, 2023
2023
Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization
S Milli, M Carroll, S Pandey, Y Wang, AD Dragan
arXiv preprint arXiv:2305.16941, 2023
2023
Value-aligned recommendations
L Belli, S Milli
US Patent App. 16/989,870, 2022
2022
Learning Objective Functions from Many Diverse Signals
SL Milli
University of California, Berkeley, 2022
2022
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