"Private Matrix Factorization with Public Item Features " Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan Proceedings of the 17th ACM Conference on Recommender Systems,
Research
"Towards Psychologically-Grounded Dynamic Preference Models " Mihaela Curmei, Andreas Haupt, Dylan Hadfield-Menell, Benjamin Recht 16th ACM Conference on Recommender Systems, RecSys,
"Emergent specialization from participation dynamics and multi-learner retraining " Sarah Dean, Mihaela Curmei, Lillian J Ratliff, Jamie Morgenstern, Maryam Fazel AIStats,
"Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability " Sarah Dean*, Mihaela Curmei*, Benjamin Recht International Conference on Machine Learning; ICML,
"Constructing and adjusting estimates for household transmission of SARS-CoV-2 from prior studies, widespread-testing and contact-tracing data " Mihaela Curmei, Andrew Ilyas*, Owain Evans, Jacob Steinhardt International Journal of Epidemiology,
"Designing Recommender Systems with Reachability in Mind " Sarah Dean, Mihaela Curmei, Benjamin Recht Participatory Aproaches to Machine Learning Workshop @ ICML,
"Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty " Wenshuo Guo, Mihaela Curmei, Serena Wang, Benjamin Recht, Michael I. Jordan Theoretical Foundations of Reinforcement Learning Workshop @ ICML,
"Identification of Patterns in Cystic Fibrosis Physiotherapy with Unsupervised Learning " Olga Liakhovich, Tempest van Schaik, Bianca Furtuna, Mihaela Curmei, Emma Raywood, Helen Douglas, Kunal Kapoor, Nicole Filipow, Eleanor Main. Healthcare Systems, Population Health, and the Role of Health-Tech Workshop @ ICML Workshop,
"Do Offline Metrics Predict Online Performance in Recommender Systems? " Karl Krauth, Sarah Dean, Alex Zhao, Mihaela Curmei, Wenshuo Guo, Benjamin Recht, Michael I. Jordan. In submission,
"Shape-Constrained Regression using Sum of Squares Polynomials " Mihaela Curmei, Georgina Hall. Under review @ Operations Research Journal,
"BitFunnel: Revisiting Signatures for Search " Bob Goodwin, Michael Hopcroft, Dan Luu, Alex Clemmer, Mihaela Curmei, Sameh Elnikety, and Yuxiong He. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Best Paper Award Winner
"Monotonically Constrained Polynomial Regression: An Application of Sum of Squares Techniques and Semidefinite Programming " Princeton University Senior Thesis,
Operations Research and Financial Engineering Senior Thesis, Winner of Procter & Gamble Prize for Outstanding Senior Thesis