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Table of Contents
Winter 2015 Reading Group
Time: Thursday @ ????
Place: ???
Guidelines
At least one week prior to your presentation, please fill out the papers/topics that you plan to present at the meeting.
Schedule
Week 1 - James - Jan 8th
Topic:Determinantal point processes for machine learning
Abstract:Determinantal point processes (DPPs) are elegant probabilistic models of repulsion
that arise in quantum physics and random matrix theory. In contrast to traditional structured models like Markov random fields, which become intractable and hard to approximate in the presence of negative correlations, DPPs offer efficient and exact algorithms for sampling, marginalization, conditioning, and other inference tasks. We provide a gentle introduction to DPPs, focusing on the intuitions, algorithms, and extensions that are most relevant to the machine learning community, and show how DPPs can be applied to real-world applications like finding diverse sets of high-quality search results, building informative summaries by selecting diverse sentences from documents, modeling non-overlapping human poses in images or video, and automatically building timelines of important news stories.
Week 2 -Olga Russakovsky - Jan 15th (4011 DBH @ 11AM)
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Week 3 - Bailey - Jan 23rd
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Week 4 - Greg - Jan 29th
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Week 5 - Shu - Feb 5th
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Week 6 -Minhaeng - Feb 12th
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Week 7 - Phuc - Feb 19th
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Week 8 - Peiyun - Feb 26th
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Week 9 - Raul - Mar 5th
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Week 10 - Sam - Mar 12th
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Week 11 - Mohsen - Mar 19th
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