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ACM ByteCast
Association for Computing Machinery (ACM)
76 episodes
1 week ago
ACM ByteCast is a podcast series from ACM’s Practitioners Board in which hosts Rashmi Mohan and Jessica Bell interview researchers, practitioners, and innovators who are at the intersection of computing research and practice. In each episode, guests will share their experiences, the lessons they’ve learned, and their own visions for the future of computing.
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All content for ACM ByteCast is the property of Association for Computing Machinery (ACM) and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
ACM ByteCast is a podcast series from ACM’s Practitioners Board in which hosts Rashmi Mohan and Jessica Bell interview researchers, practitioners, and innovators who are at the intersection of computing research and practice. In each episode, guests will share their experiences, the lessons they’ve learned, and their own visions for the future of computing.
Show more...
Science
Technology,
Business,
Careers
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Ilias Diakonikolas - Episode 76
ACM ByteCast
37 minutes
1 week ago
Ilias Diakonikolas - Episode 76
In this episode of ACM ByteCast, Bruke Kifle hosts 2024 ACM Grace Murray Hopper Award recipient Ilias Diakonikolas, Professor at the University of Wisconsin, Madison, where he researches the algorithmic foundations of machine learning and statistics. Ilias received the prestigious award for developing the first efficient algorithms for high-dimensional statistical tasks that are also robust, meaning they perform well even when the data significantly deviates from ideal modelling assumptions. His other honors and recognitions include a Sloan Fellowship, the NSF CAREER Award, the best paper award at NeurIPS 2019, and the IBM Research Pat Goldberg Best Paper Award. He authored a textbook titled Algorithmic High-Dimensional Robust Statistics.In the interview, Ilias describes his early love of math as a student in Greece, which led him on a research journey in theoretical statistics and algorithms at Columbia University and, later, at UC Berkeley. He defines “robust statistics” and how it aids in detecting “data poisoning.” Ilias and Bruke explore statistical v. computational efficiency, the practical applications of this research in machine learning and trustworthy AI, and future directions in algorithmic design. Ilias also offers valuable advice to future researchers.
ACM ByteCast
ACM ByteCast is a podcast series from ACM’s Practitioners Board in which hosts Rashmi Mohan and Jessica Bell interview researchers, practitioners, and innovators who are at the intersection of computing research and practice. In each episode, guests will share their experiences, the lessons they’ve learned, and their own visions for the future of computing.