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Clara Fannjiang
Person information
- affiliation: University of California Berkeley, CA, USA
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Books and Theses
- 2023
- [b1]Clara Fannjiang:
Toward Trustworthy Scientific Inquiry and Design with Machine Learning. University of California, Berkeley, USA, 2023
Journal Articles
- 2020
- [j1]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, Guillem Vallicrosa, Narcís Palomeras, Marc Carreras, Joaquín del Río, Joan Baptista Company:
Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources. Sci. Robotics 5(48): 3701 (2020)
Conference and Workshop Papers
- 2021
- [c3]Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan:
Variational refinement for importance sampling using the forward Kullback-Leibler divergence. UAI 2021: 1819-1829 - 2020
- [c2]David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten:
A view of estimation of distribution algorithms through the lens of expectation-maximization. GECCO Companion 2020: 189-190 - [c1]Clara Fannjiang, Jennifer Listgarten:
Autofocused oracles for model-based design. NeurIPS 2020
Informal and Other Publications
- 2023
- [i6]Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic:
Prediction-Powered Inference. CoRR abs/2301.09633 (2023) - [i5]Clara Fannjiang, Jennifer Listgarten:
Is novelty predictable? CoRR abs/2306.00872 (2023) - 2022
- [i4]Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan:
Conformal prediction for the design problem. CoRR abs/2202.03613 (2022) - 2021
- [i3]Ghassen Jerfel, Serena Lutong Wang, Clara Fannjiang, Katherine A. Heller, Yi-An Ma, Michael I. Jordan:
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence. CoRR abs/2106.15980 (2021) - 2020
- [i2]Clara Fannjiang, Jennifer Listgarten:
Autofocused oracles for model-based design. CoRR abs/2006.08052 (2020) - 2019
- [i1]David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten:
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization. CoRR abs/1905.10474 (2019)
Coauthor Index
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