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Fall 2025 Semester
Sep 14, 2026
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Sections Found
Seminar in Theoretical Computer Science - 18753 - CS 7870 - 02
Algorithms for Machine Learning; Description: This seminar course focuses on the design of efficient algorithms for building modern machine learning models at scale. We will aim to cover topics such as adaptive gradient descent algorithms, dimensionality reduction techniques, algorithms for nearest neighbor search and retrieval augmented generation, and algorithms for training and fine-tuning foundational models. The course will emphasize recent algorithmic developments for state of the art deep learning models and highlight directions for future research.
Associated Term: Fall 2025 Semester
Registration Dates: Apr 01, 2025 to Sep 16, 2025
Levels: Graduate
Attributes: GSCS Computer & Info Science, Topics Course

Boston Campus
Seminar Schedule Type
Traditional Instructional Method
4.000 Credits
View Catalog Entry

Scheduled Meeting Times
Type Time Days Where Date Range Schedule Type Instructors Remaining Seats
Class 11:45 am - 1:25 pm MR Ryder Hall 454 Sep 03, 2025 - Dec 14, 2025 Seminar Huy Le Nguyen (P)E-mail 18



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