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2020 – today
- 2024
[c6]Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel:
Emergent specialization from participation dynamics and multi-learner retraining. AISTATS 2024: 343-351- 2023
- [c5]Han Zhang
, Shangen Lu, Yixin Wang, Mihaela Curmei:
Delayed and Indirect Impacts of Link Recommendations. FAccT 2023: 545-557 - [c4]Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. RecSys 2023: 805-812 - [i9]Han Zhang, Shangen Lu, Yixin Wang, Mihaela Curmei:
Delayed and Indirect Impacts of Link Recommendations. CoRR abs/2303.09700 (2023) - [i8]Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. CoRR abs/2309.11516 (2023) - [i7]Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel:
Initializing Services in Interactive ML Systems for Diverse Users. CoRR abs/2312.11846 (2023) - 2022
- [c3]Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell:
Towards Psychologically-Grounded Dynamic Preference Models. RecSys 2022: 35-48 - [i6]Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel:
Multi-learner risk reduction under endogenous participation dynamics. CoRR abs/2206.02667 (2022) - [i5]Mihaela Curmei, Andreas A. Haupt, Dylan Hadfield-Menell, Benjamin Recht:
Towards Psychologically-Grounded Dynamic Preference Models. CoRR abs/2208.01534 (2022) - 2021
- [c2]Mihaela Curmei, Sarah Dean, Benjamin Recht:
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. ICML 2021: 2265-2275 - [i4]Mihaela Curmei, Sarah Dean, Benjamin Recht:
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. CoRR abs/2107.00833 (2021) - 2020
- [i3]Mihaela Curmei, Georgina Hall:
Shape-Constrained Regression using Sum of Squares Polynomials. CoRR abs/2004.03853 (2020) - [i2]Wenshuo Guo, Mihaela Curmei, Serena Lutong Wang, Benjamin Recht, Michael I. Jordan:
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. CoRR abs/2007.05647 (2020) - [i1]Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael I. Jordan:
Do Offline Metrics Predict Online Performance in Recommender Systems? CoRR abs/2011.07931 (2020)
2010 – 2019
- 2017
- [c1]Bob Goodwin, Michael Hopcroft, Dan Luu, Alex Clemmer, Mihaela Curmei, Sameh Elnikety, Yuxiong He:
BitFunnel: Revisiting Signatures for Search. SIGIR 2017: 605-614
Coauthor Index
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