CS 6784

Last Updated

  • Schedule of Classes - January 15, 2024 7:50PM EST
  • Course Catalog - January 15, 2024 7:28PM EST

CS 6784
Advanced Topics in Machine Learning

Course information provided by the Courses of Study 2023-2024.

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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  • Topic: Machine Learning in Feedback Systems

  • 11533 CS 6784   LEC 001

  •  
    • MW Olin Hall 255
    • Aug 21 - Dec 4, 2023

    • Dean, S

  • 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.

  • Topic: Machine Learning in Feedback Systems

  • 19095 CS 6784   PRJ 601

  •  
    • TBA
    • Aug 21 - Dec 4, 2023

    • Dean, S

  • Instruction Mode: In Person