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Invited Talk: Alex Dimakis
Alexandros Dimakis
Sat Jul 24 08:45 AM -- 09:15 AM (PDT) @
Author Information
Alexandros Dimakis (UT Austin)
Alex Dimakis is an Associate Professor at the Electrical and Computer Engineering department, University of Texas at Austin. He received his Ph.D. in electrical engineering and computer sciences from UC Berkeley. He received an ARO young investigator award in 2014, the NSF Career award in 2011, a Google faculty research award in 2012 and the Eli Jury dissertation award in 2008. He is the co-recipient of several best paper awards including the joint Information Theory and Communications Society Best Paper Award in 2012. His research interests include information theory, coding theory and machine learning.
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2020 Poster: SGD Learns One-Layer Networks in WGANs »
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2019 : Alex Dimakis: Coding Theory for Distributed Learning »
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2019 Poster: Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling »
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2019 Oral: Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling »
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2018 Poster: Gradient Coding from Cyclic MDS Codes and Expander Graphs »
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2017 Poster: Cost-Optimal Learning of Causal Graphs »
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