| Seminar in Theoretical Computer Science - 18753 - CS 7870 - 02 | ||||||||||||||||
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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
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