WebEsther Rolf 1Theodora Worledge Benjamin Recht Michael I. Jordan1 2 Abstract Collecting more diverse and representative train-ing data is often touted as a remedy for the dis-parate performance of machine learning predic-tors across subpopulations. However, a precise framework for understanding how dataset prop- WebPh.D. Dissertations - Benjamin Recht. Incorporating Intent, Impact, and Context for Beneficial Machine Learning. Esther Rolf [2024] Reliable Machine Learning in Feedback Systems. Sarah Dean [2024] Statistical Complexity and Regret in Linear Control. Max Simchowitz [2024]
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WebEsther will received her Ph.D. in Computer Science from UC Berkeley in 2024, advised by Ben Recht and Michael I. Jordan. Before that, Esther graduated with a B.S.E. in Computer Science from Princeton University. WebBerkeley Berkeley, CA esther [email protected] Vaishaal Shankar University of California, Berkeley Berkeley, CA [email protected] 1. BACKGROUND Recent increases in the availability of remotely sensed data have created a remarkable opportunity to mea-sure fundamental indicators of human well-being thierry autin
Environment and Energy Economics Program Meeting, Spring 2024
WebEsther Rolf University of California, Berkeley Electrical Engineering and Computer Science Department 253 Cory Hall Berkeley, CA 94720 [email protected] Jonathan Proctor Harvard Center for the Environment 26 Oxford Street, 4th floor Cambridge, MA 02138 [email protected] Tamma Carleton Bren School of Environmental … WebJun 9, 2024 · In the United States, interventions such as home isolation and business closure were most effective in slowing the spread of the disease, according to campus doctoral candidate Esther Rolf. In... WebRead Esther Rolf's latest research, browse their coauthor's research, and play around with their algorithms ... Harvard University ∙. berkeley college Featured Co-authors. Michael I. Jordan 272 publications . Benjamin Recht 63 publications . Max Simchowitz 41 publications ... thierry auto pieces