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Efficient and Reliable Overlay Networks for Decentralized Federated Learning

Dec 12, 2021
Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang

* 25 pages, 8 figures 

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Model-Change Active Learning in Graph-Based Semi-Supervised Learning

Oct 14, 2021
Kevin Miller, Andrea L. Bertozzi

* Submitted to SIAM Journal on Mathematics of Data Science (SIMODS) 

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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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