BitFunnel: Revisiting Signatures for Search. - Bob Goodwin; Michael Hopcroft; Dan Luu; Alex Clemmer; Mihaela Curmei; Sameh Elnikety; Yuxiong He (SIGIR, 2017)

Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. - Wenshuo Guo; Mihaela Curmei; Serena Lutong Wang; Benjamin Recht; Michael I. Jordan (CoRR, 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)

Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. - Mihaela Curmei; Sarah Dean; Benjamin Recht (ICML, 2021)

Towards Psychologically-Grounded Dynamic Preference Models. - Mihaela Curmei; Andreas A. Haupt; Benjamin Recht; Dylan Hadfield-Menell (RecSys, 2022)

Multi-learner risk reduction under endogenous participation dynamics. - Sarah Dean; Mihaela Curmei; Lillian J. Ratliff; Jamie Morgenstern; Maryam Fazel (CoRR, 2022)

Delayed and Indirect Impacts of Link Recommendations. - Han Zhang; Shangen Lu; Yixin Wang 002; Mihaela Curmei (FAccT, 2023)

Private Matrix Factorization with Public Item Features. - Mihaela Curmei; Walid Krichene; Li Zhang 001; Mukund Sundararajan (RecSys, 2023)

Delayed and Indirect Impacts of Link Recommendations. - Han Zhang; Shangen Lu; Yixin Wang; Mihaela Curmei (CoRR, 2023)

Emergent specialization from participation dynamics and multi-learner retraining. - Sarah Dean; Mihaela Curmei; Lillian J. Ratliff; Jamie Morgenstern; Maryam Fazel (AISTATS, 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 (NeurIPS, 2024)

Shape-Constrained Regression Using Sum of Squares Polynomials. - Mihaela Curmei; Georgina Hall (Oper. Res., 2025)