Michaelchughes.com Website Review


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Country: United States
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Latitude: 37.751
Longitude: -97.822




Summarized Content

Welcome! My research spans statistical machine learning and its applications in healthcare and the sciences. I am an As*istant Professor in the Dept. of Computer Science at Tufts University. Previously, I was a postdoctoral fellow in computer Recently, my work is motivated by two exciting clinical applications: These applications have inspired new contributions to machine learning: Regularization, a method to optimize de*p neural networks so learned clas* boundaries are similar to decision trees (the trees can then be Goal: make healthcare professionals aware of the latest tools from ML and help them be research effective collaborators. Please visit the I'm actively looking for students (ugrad and Ph.D.) for various research projects. Please contact me if interested. was a compact summary of our AISTATS 2018 paper: Semi-Supervised Prediction-Constrained Topic Models organizers for hosting, and to Amazon for sponsoring the award. providing good generative models with interpretable topics. The new approach fixes core issues with past methods like sLDA, and shines especially in semi-supervised tasks, when only a small fraction of training examples are labeled. Our paper describes a new regularization method to optimize recurrent neural networks to have more interpretable decision boundaries (closer Optimizing Machine Learning Models for Clinical Interpretability Nominated for Clinical Informatics Research Award (1 of 7 nominees) You can now find me at my new office in Maxwell-Dworkin (MD 209). Many thanks to family and friends who supported me along the way. I visited several research groups at Northeastern, U. Washington, and MIT to discuss results from my thesis work trying to make effective models that can handle hundreds of sequences and add or remove hidden states during a single training run.


Michaelchughes Main Page Content

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Title: Mike Hughes - Machine Learning Research - Michael C. Could be improved
Description: Welcome! My research spans statistical machine learning and its applications in healthcare and the sciences. I am an Assistant Professor in the Dept. of Computer Science at Tufts University. Previously, I was a postdoctoral fellow in computer science at Harvard SEAS, advised by Prof. Finale
H1: Mike Hughes - Machine Learning ResearchIs it informative enough?
H3: Research HighlightsIs it informative enough?

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Papers - Michael C. Hughes

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External links: [My Google Scholar Profile] • [My ORCID iD Profile] 2018 Prediction-Constrained POMDPs Joseph Futoma, Michael C. Hughes, and Finale Doshi-Velez Reinforcement Learning under Partial Observability (RLPO) workshop at NeurIPS 2018 • [paper PDF] Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation Bret Nestor, Matthew …

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Papers

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CV for Michael C. Hughes - Michael C. Hughes

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PDF | source | Last updated: July 17 2018 Education Brown University 2016 Ph.D., Computer Science. Brown University 2012 M.S., Computer Science. Olin College of Engineering 2010 B.S. Electrical & Computer Engineering Research Experience istant Professor of Computer Science 2018 - present Tufts University, Medford, MA Conduct research, advise students, and …

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CV for Michael C. Hughes

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Education

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Bio - Michael C. Hughes

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My name is Michael C. Hughes, but everybody calls me Mike. Jump to:   [Professional Bio] • [Personal Background] • [Life Outside the Lab] Professional Bio Michael C. Hughes (Mike) is an istant Professor of Computer Science at Tufts University, starting in August 2018. Previously, from 2016-2018 he was a postdoctoral fellow in …

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Professional Bio

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Research Projects - Michael C. Hughes

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Active Research Projects Recently, I'm motivated by two exciting clinical applications: antidepressant recommendations for patients with major depression forecasting need for interventions in the Intensive Care Unit (ICU) These applications have inspired new contributions to machine learning: Semi-supervised learning: Our new Prediction Constrained training objective fits latent variable models so …

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Research Projects

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Active Research Projects

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Courses - Michael C. Hughes

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Courses taught at Tufts University: Fall 2018: COMP 150-03 Bayesian Learning Courses TA'd at Brown University while a graduate student: Fall 2013: CS 142 Introduction to Machine Learning Internet archive link (since Brown might have taken down the old course website): https://web.archive.org/web/20170606205059/http://cs …

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Courses

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