7/31/2023 0 Comments Yu pan berkeleyUC Berkeley to lead $10M NSF/Simons Foundation program to investigate theoretical underpinnings of deep learning, Aug. Honorary Doctorate, University of Lausanne (UNIL) (Faculty of Business and Economics), J(Interview of Bin Yu by journalist Nathalie Randin, with an introduction by Dean Jean-Philippe Bonardi of UNIL in French ( English translation ))ĬDSS news on our PCS framework: "A better framework for more robust, trustworthy data science", Oct. Our recent algorithms include staNMF for unsupervised learning, iterative Random Forests (iRF) and signed iRF (s-iRF) for discovering predictive and stable high-order interactions in supervised learning, contextual decomposition (CD) and aggregated contextual decomposition (ACD) for interpretation of Deep Neural Networks (DNNs).ĬDSS news: Statistics-Computer Science team reflects on tackling covid outbreaks, May, 2022 In order to augment empirical evidence for decision-making, we are investigating statistical machine learning methods/algorithms (and associated statistical inference problems) such as dictionary learning, non-negative matrix factorization (NMF), EM and deep learning (CNNs and LSTMs), and heterogeneous effect estimation in randomized experiments (X-learner). PCS stands for predictability, computability and stability, and it unifies, streamlines, and expands on ideas and best practices of machine learning and statistics. We have developed the PCS framework for veridical data science (or responsible, reliable, and transparent data analysis and decision-making). She received neuropsychological assessment training at UC Berkeley. She also works alongside personal injury attorneys. We also develop relevant theory to understand random forests and deep learning for insight into and guidance for practice. Pan specializes in the treatment of Post-traumatic stress disorder (PTSD) and helps clients suffering from personal injuries such as car accidents, dog bites, and medical malpractice. Together with my group, my work has leveraged new computational developments to solve important scientific problems by combining novel statistical machine learning approaches with the domain expertise of my many collaborators in neuroscience, genomics and precision medicine. Electrical and thermal transport properties of spark plasma sintered n-type Bi 2 Te 3 x Se x alloys: the combined effect of point defect and Se content. I was formally trained as a statistician, but my research interests and achievements extend beyond the realm of statistics. I'm Bin Yu, the head of the Yu Group at Berkeley, which consists of 15-20 students and postdocs from S tatistics and EECS.
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