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pro vyhledávání: '"Ronen, Omer"'
Bayesian Additive Regression Trees (BART) is a popular Bayesian non-parametric regression model that is commonly used in causal inference and beyond. Its strong predictive performance is supported by theoretical guarantees that its posterior distribu
Externí odkaz:
http://arxiv.org/abs/2406.19958
We develop Scalable Latent Exploration Score (ScaLES) to mitigate over-exploration in Latent Space Optimization (LSO), a popular method for solving black-box discrete optimization problems. LSO utilizes continuous optimization within the latent space
Externí odkaz:
http://arxiv.org/abs/2406.09657
Bayesian Additive Regression Trees (BART) is a popular Bayesian non-parametric regression algorithm. The posterior is a distribution over sums of decision trees, and predictions are made by averaging approximate samples from the posterior. The combin
Externí odkaz:
http://arxiv.org/abs/2210.09352
Tree-based models such as decision trees and random forests (RF) are a cornerstone of modern machine-learning practice. To mitigate overfitting, trees are typically regularized by a variety of techniques that modify their structure (e.g. pruning). We
Externí odkaz:
http://arxiv.org/abs/2202.00858
Autor:
Tan, Yan Shuo, Singh, Chandan, Nasseri, Keyan, Agarwal, Abhineet, Duncan, James, Ronen, Omer, Epland, Matthew, Kornblith, Aaron, Yu, Bin
Modern machine learning has achieved impressive prediction performance, but often sacrifices interpretability, a critical consideration in high-stakes domains such as medicine. In such settings, practitioners often use highly interpretable decision t
Externí odkaz:
http://arxiv.org/abs/2201.11931
Akademický článek
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Autor:
Wang Q, Tang TM, Youlton N, Weldy CS, Kenney AM, Ronen O, Weston Hughes J, Chin ET, Sutton SC, Agarwal A, Li X, Behr M, Kumbier K, Moravec CS, Wilson Tang WH, Margulies KB, Cappola TP, Butte AJ, Arnaout R, Brown JB, Priest JR, Parikh VN, Yu B, Ashley EA
Publikováno v:
MedRxiv : the preprint server for health sciences [medRxiv] 2024 May 04. Date of Electronic Publication: 2024 May 04.
Autor:
Wang Q; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA., Tang TM; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA., Youlton N; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA., Weldy CS; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA., Kenney AM; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA., Ronen O; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA., Hughes JW; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA., Chin ET; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA., Sutton SC; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA., Agarwal A; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA., Li X; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA., Behr M; Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany., Kumbier K; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA., Moravec CS; Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA., Tang WHW; Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.; Department of Cardiovascular Medicine, Heart Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA., Margulies KB; Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Hospital of The University of Pennsylvania, Philadelphia, PA, USA., Cappola TP; Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Hospital of The University of Pennsylvania, Philadelphia, PA, USA., Butte AJ; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA., Arnaout R; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA., Brown JB; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA.; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.; Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Priest JR; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.; Tenaya Therapeutics, San Francisco, CA, USA., Parikh VN; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA., Yu B; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA.; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.; Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA.; Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA., Ashley EA; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
Publikováno v:
Research square [Res Sq] 2023 Nov 20. Date of Electronic Publication: 2023 Nov 20.