CS 6784
Last Updated
- Schedule of Classes - January 11, 2024 7:32PM EST
- Course Catalog - January 11, 2024 7:07PM EST
Classes
CS 6784
Course Description
Course information provided by the Courses of Study 2023-2024. Courses of Study 2023-2024 is scheduled to publish mid-June.
Extends and complements CS 4780 and CS 5780, giving in-depth coverage of new and advanced methods in machine learning.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: CS 4780 or CS 5780 or equivalents or permission of instructor.
Regular Academic Session. Choose one lecture and one project.
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Section Topic
Topic: Machine Learning in Feedback Systems
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Class Number & Section Details
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Meeting Pattern
- MW Olin Hall 255
- Aug 21 - Dec 4, 2023
Instructors
Dean, S
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Additional Information
Instruction Mode: In Person
Feedback between machine learning models and the environment in which they are deployed leads to a host of challenges, from distribution shift to bias to polarization. This graduate level course will introduce theoretical foundations for studying such phenomena. We will cover the frameworks of control theory, reinforcement learning, and online/adaptive learning. Then, we will turn to algorithms for ensuring properties like stability, robustness, safety, and fairness. We will also discuss the social and ethical concerns which motivate these algorithms and properties. Paper discussions and a research project are major parts of the course. Restricted to Ithaca campus graduate students only. Undergraduate and MEng students must add themselves to the waitlist during add/drop. This course is not available to Cornell Tech students.
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