A view of estimation of distribution algorithms through the lens of expectation-maximization. - David H. Brookes; Akosua Busia; Clara Fannjiang; Kevin Murphy 002; Jennifer Listgarten (GECCO Companion, 2020)

Autofocused oracles for model-based design. - Clara Fannjiang; Jennifer Listgarten (NeurIPS, 2020)

Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources. - Ivan Masmitja; Joan Navarro; Spartacus Gomaríz; Jacopo Aguzzi; Brian Kieft; Tom O'Reilly; Kakani Katija; Pierre-Jean Bouvet; Clara Fannjiang; M. Vigo; Pere Puig; A. Alcocer; et al. (Sci. Robotics, 2020)

Variational refinement for importance sampling using the forward Kullback-Leibler divergence. - Ghassen Jerfel; Serena Lutong Wang; Clara Wong-Fannjiang; Katherine A. Heller; Yian Ma; Michael I. Jordan (UAI, 2021)

Conformal prediction for the design problem. - Clara Fannjiang; Stephen Bates; Anastasios N. Angelopoulos; Jennifer Listgarten; Michael I. Jordan (CoRR, 2022)

Prediction-Powered Inference. - Anastasios N. Angelopoulos; Stephen Bates; Clara Fannjiang; Michael I. Jordan; Tijana Zrnic (CoRR, 2023)

Is novelty predictable? - Clara Fannjiang; Jennifer Listgarten (CoRR, 2023)

Toward Trustworthy Scientific Inquiry and Design with Machine Learning - Clara Fannjiang (2023)

Reliable algorithm selection for machine learning-guided design. - Clara Fannjiang; Ji Won Park (CoRR, 2025)