Automated experimental design of safe rampdowns via probabilistic machine learning von Mehta, Viraj, Barr, Jayson, Abbate, Joseph, Boyer, Mark D, Char, Ian, Neiswanger, Willie, Kolemen, Egemen, Schneider, Jeff

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Development of the life impact burn recovery evaluation (LIBRE) profile: assessing burn survivors' social participation von Kazis, Lewis E., Marino, Molly, Ni, Pengsheng, Bori, Marina Soley, Amaya, Flor, Dore, Emily, Ryan, Colleen M., Schneider, Jeff C., Shie, Vivian, Acton, Amy, Jette, Alan M.

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Development of the LIBRE Profile: Assessing the Social Impact of Burns von Kazis, Lewis, Marino, Molly, Ni, Pengsheng, Acton, Amy, Schneider, Jeff C, Ryan, Colleen M, Jette, Alan M

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Expression of TNFAIP3 in intestinal epithelial cells protects from DSS- but not TNBS-induced colitis von Rhee, Lesley, Murphy, Stephen F, Kolodziej, Lauren E, Grimm, Wesley A, Weber, Christopher R, Lodolce, James P, Chang, Jonathan E, Bartulis, Sarah J, Messer, Jeannette S, Schneider, Jeff R, Paski, Shirley, Nero, Thomas M, Boone, David L

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Controlling the False-Discovery Rate in Astrophysical Data Analysis von Miller, Christopher J, Genovese, Christopher, Nichol, Robert C, Wasserman, Larry, Connolly, Andrew, Reichart, Daniel, Hopkins, Andrew, Schneider, Jeff, Moore, Andrew

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Detecting damped Ly α absorbers with Gaussian processes von Garnett, Roman, Ho, Shirley, Bird, Simeon, Schneider, Jeff

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Reactive modification and compatibilization of poly(lactide) and poly(butylene adipate-co-terephthalate) blends with epoxy functionalized-poly(lactide) for blown film applications von Schneider, Jeff, Manjure, Shilpa, Narayan, Ramani

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Multi-fidelity Gaussian Process Bandit Optimisation von Kandasamy, Kirthevasan, Dasarathy, Gautam, Oliva, Junier, Schneider, Jeff, Póczos, Barnabás

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Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly von Kandasamy, Kirthevasan, Vysyaraju, Karun Raju, Neiswanger, Willie, Paria, Biswajit, Collins, Christopher R., Schneider, Jeff, Poczos, Barnabas, Xing, Eric P.

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Query efficient posterior estimation in scientific experiments via Bayesian active learning von Kandasamy, Kirthevasan, Schneider, Jeff, Póczos, Barnabás

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Multi-Agent Active Search: A Reinforcement Learning Approach von Igoe, Conor, Ghods, Ramina, Schneider, Jeff

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Computational catalyst discovery: Active classification through myopic multiscale sampling von Tran, Kevin, Neiswanger, Willie, Broderick, Kirby, Xing, Eric, Schneider, Jeff, Ulissi, Zachary W.

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Automated experimental design of safe rampdowns via probabilistic machine learning von Mehta, Viraj, Barr, Jayson, Abbate, Joseph, Boyer, Mark D., Char, Ian, Neiswanger, Willie, Kolemen, Egemen, Schneider, Jeff

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Computational catalyst discovery: Active classification through myopic multiscale sampling von Tran, Kevin, Neiswanger, Willie, Broderick, Kirby, Xing, Eric, Schneider, Jeff, Ulissi, Zachary W.

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Query efficient posterior estimation in scientific experiments via Bayesian active learning von Kandasamy, Kirthevasan, Schneider, Jeff, Póczos, Barnabás

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Query efficient posterior estimation in scientific experiments via Bayesian active learning von Kandasamy, Kirthevasan, Schneider, Jeff, Póczos, Barnabás

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Systematic Labeling Bias in Galaxy Morphologies von Cabrera-Vives, Guillermo, Miller, Christopher J., Schneider, Jeff

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Exploring data-driven models for spatiotemporally local classification of Alfvén eigenmodes von Kaptanoglu, Alan A., Jalalvand, Azarakhsh, Garcia, Alvin V., Austin, Max E., Verdoolaege, Geert, Schneider, Jeff, Hansen, Christopher J., Brunton, Steven L., Heidbrink, William W., Kolemen, Egemen

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A FIRST LOOK AT CREATING MOCK CATALOGS WITH MACHINE LEARNING TECHNIQUES von Xu, Xiaoying, Ho, Shirley, Trac, Hy, Schneider, Jeff, Poczos, Barnabas, NTAMPAKA, MICHELLE

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Event Prediction With Learning Algorithms-A Study of Events Surrounding the Egyptian Revolution of 2011 on the Basis of Micro Blog Data von Boecking, Benedikt, Hall, Margeret, Schneider, Jeff

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