Website review papail.io
Dimitris Papailiopoulos
Generated on January 21 2026 23:56 PM
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The score is 45/100
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Title
Dimitris Papailiopoulos
Length : 23
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Headings
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- [H2] Dimitris Papailiopoulos
- [H2] News
- [H2] Publications
- [H2] Research Group
- [H2] Teaching
- [H2] Contact
- [H3] About
- [H4] Jay & Cynthia Ihlenfeld Associate Professor University of Wisconsin-Madison Electrical and Computer Engineering
- [H5] I am currently on leave at Microsoft Research.
- [H5] I am the Jay & Cynthia Ihlenfeld Associate Professor of Electrical and Computer Engineering (and CS by courtesy) at the University of Wisconsin-Madison, a faculty fellow at the Grainger Institute, and a faculty affiliate with the Optimization group at the Wisconsin Institute for Discovery. My research lies in the intersection of machine learning, coding theory, and optimization. I am particularly interested in the theory and practice of large-scale machine learning systems and the challenges that arise once we aim to build solutions that come with robustness and scalability guarantees. I am particuarly interested in these topics in the context of large language models and transformer architectures. Before coming to Madison, I spent two wonderful years as a postdoc at UC Berkeley, where I was a member of the AMPLab and BLISS, and had the pleasure to collaborate with Ben Recht and Kannan Ramchandran. I received my Ph.D. in 2014 from UT Austin, where I was fortunate to be advised by Alex Dimakis. Before UT, I spent 3.5 years as a grad student at USC. Before all that, I received my M.Sc. (2009) and ECE Diploma (2007) from the Technical University of Crete (TUC), located in the beautiful city of Chania. In 2018, I co-founded the conference on Machine Learning & Systems (MLSys), a new conference that targets research at the intersection of systems and machine learning. In 2018 and 2020, I was the program co-chair for MLSys. In 2019, I also co-chaired the 3rd Midwest Machine Learning Symposium (MMLS). gScholar bio, resume twitter
- [H5] ICML 2019 Does Data Augmentation Lead to Positive Margin?
- [H5] AISTATS 2019 A Geometric Perspective on the Transferability of Adversarial Directions
- [H5] Sony Faculty Innovation Award!! [link]
- [H5] Benjamin Smith Reynolds Award for Excellence in Teaching!! [link]
- [H5] NSF CAREER Award!! Coding Theory for Robust Large-Scale Machine Learning
- [H5] I am very fortunate to work with and learn from the following amazing colleagues
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SEO Links
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In-page links
We found a total of 54 links including 7 link(s) to files
| Anchor | Type | Juice |
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| Dimitris | Internal | Passing Juice |
| About | Internal | Passing Juice |
| News | Internal | Passing Juice |
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| Research Group | Internal | Passing Juice |
| Teaching | Internal | Passing Juice |
| Contact | Internal | Passing Juice |
| University of Wisconsin-Madison | External | Passing Juice |
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| Technical University of Crete (TUC) | External | Passing Juice |
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| NSF CAREER Award | External | Passing Juice |
| Sony Faculty Innovation Awards | External | Passing Juice |
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| Maximilian Lam | External | Passing Juice |
SEO Keywords
Keywords Cloud
learning phd systems machine spring university research engineering fall ece
Keywords Consistency
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Usability
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| <center> | 2 |
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