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Posterior Consistency of Semi-Supervised Regression on Graphs


Jul 25, 2020
Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, Andrew M. Stuart


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Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations


Jul 21, 2020
Kevin Miller, Hao Li, Andrea L. Bertozzi

* Accepted in ICML Workshop on Real World Experiment Design and Active Learning 2020 

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Meta-learning of Sequential Strategies


May 08, 2019
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alex Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Azar, Ian Osband, Neil Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew Botvinick, Shane Legg

* DeepMind Technical Report (15 pages, 6 figures) 

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Forward Thinking: Building Deep Random Forests


May 20, 2017
Kevin Miller, Chris Hettinger, Jeffrey Humpherys, Tyler Jarvis, David Kartchner


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