Mihaela Curmei

According to our database, Mihaela Curmei authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking.

Haruka Kiyohara, Mihaela Curmei, Ariel Evnine, Shankar Kalyanaraman, Israel Nir, Ana-Roxana Pop, Nitzan Razin, Sarah Dean, Thorsten Joachims, Udi Weinsberg

CoRR, May, 2026

2025

Shape-Constrained Regression Using Sum of Squares Polynomials.

Mihaela Curmei, Georgina Hall

Oper. Res., 2025

2024

Initializing Services in Interactive ML Systems for Diverse Users.

Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie H. Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Emergent specialization from participation dynamics and multi-learner retraining.

Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Delayed and Indirect Impacts of Link Recommendations.

Han Zhang, Shangen Lu, Yixin Wang, Mihaela Curmei

CoRR, 2023

Private Matrix Factorization with Public Item Features.

Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Delayed and Indirect Impacts of Link Recommendations.

Han Zhang, Shangen Lu, Yixin Wang, Mihaela Curmei

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Multi-learner risk reduction under endogenous participation dynamics.

Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel

CoRR, 2022

Towards Psychologically-Grounded Dynamic Preference Models.

Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability.

Mihaela Curmei, Sarah Dean, Benjamin Recht

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Do Offline Metrics Predict Online Performance in Recommender Systems?

Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael I. Jordan

CoRR, 2020

Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty.

Wenshuo Guo, Mihaela Curmei, Serena Lutong Wang, Benjamin Recht, Michael I. Jordan

CoRR, 2020

2017

BitFunnel: Revisiting Signatures for Search.

Bob Goodwin, Michael Hopcroft, Dan Luu, Alex Clemmer, Mihaela Curmei, Sameh Elnikety, Yuxiong He

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017