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kevinregan.com

Kevin Regan

Kevin Regan. A PhD student in Artificial Intelligence @ UofT.

http://www.kevinregan.com/

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Kevin Regan | kevinregan.com Reviews
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Kevin Regan. A PhD student in Artificial Intelligence @ UofT.
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Kevin Regan | kevinregan.com Reviews

https://kevinregan.com

Kevin Regan. A PhD student in Artificial Intelligence @ UofT.

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1

Kevin M Regan

http://www.kevinregan.com/courses.html

Department of Computer Science. Past Courses of Interest. Focus on development of system-level architectures and class-level object-oriented designs for software systems. There is a special emphasis on the study of architecture and design patterns. Looks at advanced user interface paradigms that go beyond the status-quo keyboard/mouse/GUI interface for single users on a mid-size display. Algorithms for the Internet. Seminar introducing Tetherless Computing: a style of computing where smart mobile devices...

2

Kevin M Regan

http://www.kevinregan.com/csc290.html

Department of Computer Science. This summer I am assisting with CSC 290 - Communcation Skills for Computer Scientists. Throughout the summer I will be using this space to post any material that I feel may be relevant to the course. I gave a brief tutorial. On how to use Zotero. To aid in literature search and compiling of bibliographies. The following are good resources I found while researching a presentation. I created on, you guessed it, how to give a good presentation.

3

Kevin M Regan

http://www.kevinregan.com/presentations.html

Department of Computer Science. I have made a selection of the presentations I have given available via Slideshare. The presentations can be downloaded as Keynote presentations. If you would like another format please just let me know through email. Robust Policy Computation in Reward-Uncertain MDPs. The Twenty Fourth Conference on Artificial Intelligence. Regret-based Reward Elicitation for Markov Decision Processes. University of Toronto - Machine Learning Seminar. Peer-to-Peer Supernodes - Survey.

4

Kevin Regan

http://www.kevinregan.com/index.html

Software Engineer @ Google. I have been at Google since 2014. My team builds tools to understand the web: extracting semantics, cleaning, transforming, reconciling data and adding it to the Knowledge Graph. We also build awesome search experiences with this semantic data like concert events. My doctoral work focused on preference elicitation techniques for sequential decision making—and intersects Decision Making, Probablistic Modeling, Machine Learning and Optimization. Craig Boutilier, Kevin Regan.

5

Kevin M Regan

http://www.kevinregan.com/publications.html

Department of Computer Science. Robust Online Optimization of Reward-uncertain MDPs. Twenty-Second Joint Conference on Artificial Intelligence. Article{ijcai2011:rb:a, author = {Kevin Regan and Craig Boutilier}, title = { Robust Online Optimization of Reward-uncertain MDPs }, journal = { Twenty-Second Joint Conference on Artificial Intelligence (IJCAI 2011) }, year = {2011} }. Eliciting Additive Reward Functions for Markov Decision Processes. Twenty-Second Joint Conference on Artificial Intelligence.

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Software Engineer @ Google. I am currently working at Google where I just completed Google's Machine Learning Ninja program. As a part of the program I worked with the Cambridge Computer Vision team on a variety projects using Tensorflow to build models for object recognition. My doctoral work focused on preference elicitation techniques for sequential decision making—and intersects Decision Making, Probablistic Modeling, Machine Learning and Optimization. Craig Boutilier, Kevin Regan. Article{nips08work...

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