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DTSTART:20220327T030000
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DTSTART:20221030T020000
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BEGIN:VEVENT
DTSTAMP:20260404T141623Z
UID:630cc81bc1af5600326437@ist.ac.at
DTSTART:20220909T100000
DTEND:20220909T110000
DESCRIPTION:Speaker: Karen Ullrich\nhosted by Christoph Lampert\nAbstract: 
 I will talk about algorithms that find and eliminate redundant information
  in representations of data. The solutions I present are heavily inspired 
 by classical information theory and modern machine learning.  Relevant pap
 ers are: [1] Compressing multisets with large alphabetsD Severo\, J Townse
 nd\, A Khisti\, A Makhzani\, K Ullrich - 2022 Data Compression Conference 
 (DCC)\, 2022[2] Lossy compression for lossless predictionY Dubois\, B Bloe
 m-Reddy\, K Ullrich\, CJ Maddison - Advances in Neural Information Process
 ing Systems\, 2021
LOCATION:Heinzel Seminar Room / Office Bldg West (I21.EG.101)\, ISTA
ORGANIZER:kharppre@ist.ac.at
SUMMARY:Karen Ullrich: Getting most out of representations - Approaches to 
 reducing information redundancy
URL:https://talks-calendar.ista.ac.at/events/3922
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