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Smitha Milli
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2020 – today
- 2024
- [i14]Tom Cunningham, Sana Pandey, Leif Sigerson, Jonathan Stray, Jeff Allen, Bonnie Barrilleaux, Ravi Iyer, Smitha Milli, Mohit Kothari, Behnam Rezaei:
What We Know About Using Non-Engagement Signals in Content Ranking. CoRR abs/2402.06831 (2024) - 2023
- [i13]Smitha Milli, Micah Carroll, Sashrika Pandey, Yike Wang, Anca D. Dragan:
Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization. CoRR abs/2305.16941 (2023) - [i12]Smitha Milli, Emma Pierson, Nikhil Garg:
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems. CoRR abs/2305.17428 (2023) - 2022
- [c13]Smitha Milli, Luca Belli, Moritz Hardt:
Causal Inference Struggles with Agency on Online Platforms. FAccT 2022: 357-365 - 2021
- [c12]Smitha Milli, Luca Belli, Moritz Hardt:
From Optimizing Engagement to Measuring Value. FAccT 2021: 714-722 - [i11]Smitha Milli, Luca Belli, Moritz Hardt:
Causal Inference Struggles with Agency on Online Platforms. CoRR abs/2107.08995 (2021) - 2020
- [c11]Ravit Dotan, Smitha Milli:
Value-laden disciplinary shifts in machine learning. FAT* 2020: 294 - [c10]John Miller, Smitha Milli, Moritz Hardt:
Strategic Classification is Causal Modeling in Disguise. ICML 2020: 6917-6926 - [c9]Hong Jun Jeon, Smitha Milli, Anca D. Dragan:
Reward-rational (implicit) choice: A unifying formalism for reward learning. NeurIPS 2020 - [i10]Hong Jun Jeon, Smitha Milli, Anca D. Dragan:
Reward-rational (implicit) choice: A unifying formalism for reward learning. CoRR abs/2002.04833 (2020) - [i9]Smitha Milli, Luca Belli, Moritz Hardt:
From Optimizing Engagement to Measuring Value. CoRR abs/2008.12623 (2020)
2010 – 2019
- 2019
- [c8]Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt:
Model Reconstruction from Model Explanations. FAT 2019: 1-9 - [c7]Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt:
The Social Cost of Strategic Classification. FAT 2019: 230-239 - [c6]Smitha Milli, Anca D. Dragan:
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. UAI 2019: 925-934 - [i8]Smitha Milli, Anca D. Dragan:
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. CoRR abs/1903.03877 (2019) - [i7]John Miller, Smitha Milli, Moritz Hardt:
Strategic Adaptation to Classifiers: A Causal Perspective. CoRR abs/1910.10362 (2019) - [i6]Ravit Dotan, Smitha Milli:
Value-laden Disciplinary Shifts in Machine Learning. CoRR abs/1912.01172 (2019) - 2018
- [i5]Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt:
Model Reconstruction from Model Explanations. CoRR abs/1807.05185 (2018) - [i4]Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt:
The Social Cost of Strategic Classification. CoRR abs/1808.08460 (2018) - 2017
- [c5]Smitha Milli, Falk Lieder, Thomas L. Griffiths:
When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? AAAI 2017: 4422-4428 - [c4]Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell:
Should Robots be Obedient? IJCAI 2017: 4754-4760 - [c3]Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart J. Russell, Anca D. Dragan:
Inverse Reward Design. NIPS 2017: 6765-6774 - [i3]Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell:
Should Robots be Obedient? CoRR abs/1705.09990 (2017) - [i2]Smitha Milli, Pieter Abbeel, Igor Mordatch:
Interpretable and Pedagogical Examples. CoRR abs/1711.00694 (2017) - [i1]Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart Russell, Anca D. Dragan:
Inverse Reward Design. CoRR abs/1711.02827 (2017) - 2016
- [c2]Smitha Milli, Marti A. Hearst:
Augmenting Course Material with Open Access Textbooks. BEA@NAACL-HLT 2016: 229-234 - [c1]Smitha Milli, David Bamman:
Beyond Canonical Texts: A Computational Analysis of Fanfiction. EMNLP 2016: 2048-2053
Coauthor Index
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last updated on 2024-04-25 05:54 CEST by the dblp team
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