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TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20290311T030000 RDATE:20291104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20300310T030000 RDATE:20301103T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20310309T030000 RDATE:20311102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20320314T030000 RDATE:20321107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20330313T030000 RDATE:20331106T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20340312T030000 RDATE:20341105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:36e861e0e8f37eca35b8e21024c97bee CATEGORIES:Faculty Candidate Talk CREATED:20190823T084023 SUMMARY:Bayesian Deep Learning: A Probabilistic Framework to Unify Deep Learning and Graphical Models LOCATION:CoRE A 301 DESCRIPTION;ENCODING=QUOTED-PRINTABLE:
Abstract :
While perception tasks such as visual object recognition and text understanding p lay an important role in human intelligence, the subsequent tasks that invo lve inference, reasoning, and planning require an even higher level of inte lligence. The past few years have seen major advances in many perception ta sks using deep learning models. In terms of higher-level inference, however , probabilistic graphical models, with their ability to expressively descri be properties of variables and various probabilistic relations among variab les, are still more powerful and flexible. To achieve integrated intelligen ce that involves both perception and inference, we have been exploring alon g a research direction, which we call Bayesian deep learning, to tightly in tegrate deep learning and Bayesian models within a principled probabilistic framework. In this talk, I will present the proposed unified framework and some of our recent work on Bayesian deep learning with various application s including recommendation, social network analysis, healthcare, and repres entation learning.
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