Clara Fannjiang

According to our database, Clara Fannjiang authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Conformal Policy Control.

Drew Prinster, Clara Fannjiang, Ji Won Park, Kyunghyun Cho, Anqi Liu, Suchi Saria, Samuel Stanton

CoRR, March, 2026

2025

E-valuator: Reliable Agent Verifiers with Sequential Hypothesis Testing.

Shuvom Sadhuka, Drew Prinster, Clara Fannjiang, Gabriele Scalia, Aviv Regev, Hanchen Wang

CoRR, December, 2025

Reliable Algorithm Selection for Machine Learning-Guided Design.

Clara Fannjiang, Ji Won Park

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

Toward Trustworthy Scientific Inquiry and Design with Machine Learning

Clara Fannjiang

PhD thesis, 2023

Is novelty predictable?

Clara Fannjiang, Jennifer Listgarten

CoRR, 2023

Prediction-Powered Inference.

Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic

CoRR, 2023

2022

Conformal prediction for the design problem.

Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan

CoRR, 2022

2021

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

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

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, Maria Vigo, Pere Puig, A. Alcocer, Guillem Vallicrosa, Narcís Palomeras, Marc Carreras, Joaquín del Río, Joan Baptista Company

Sci. Robotics, 2020

Autofocused oracles for model-based design.

Clara Fannjiang, Jennifer Listgarten

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A view of estimation of distribution algorithms through the lens of expectation-maximization.

David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020