aleksander madry thesis

Best Paper Award. Journal of the ACM, Volume 62 Issue 5, 2015 (invited paper). From Graphs to Matrices, and Back: New Techniques for Graph Algorithms My Ph.D. thesis, MIT, EECS Department, 2011. ACM Doctoral Dissertation Award Honorable Mention. George M. Sprowls Award (for best MIT doctoral theses in CS).
20.05.2011 -
Advisor: Aleksander Mądry. Department: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Publisher: Massachusetts Institute of Technology. Date Issued: 2017. Abstract: In this thesis, we study matrix scaling and balancing, which are fundamental problems in scientific
04.06.2017 -
24.08.2009 -
01.09.2017 -
01.09.2017 -
Aleksander Mądry. Abstract: The growing need to deal efficiently with massive computing tasks prompts us to consider the following question: How well can we solve fundamental optimization problems if our algorithms have to run really quickly? The motivation for the research presented in this thesis stems from addressing
Aleksander Mądry is an assistant professor in the MIT EECS Department. His research centers on algorithmic graph theory and understanding uncertainty in the context of optimization. Aleksander received his PhD from MIT in 2011 and, prior to joining the MIT faculty, he spent a year as a postdoctoral researcher at Microsoft

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