Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.

Fall 2022 Industrial Engineering and Operations Research E6617 section 001
Machine Learning and High-Dimensional Da
Mchn lrning&Hgh-dmntnl da

Call Number 11693
Day & Time
M 7:10pm-9:40pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Krzysztof M Choromanski
Method of Instruction In-Person
Course Description Discusses recent advances in fields of machine learning: kernel methods, neural networks (various generative adversarial net architectures), and reinforcement learning (with applications in robotics). Quasi Monte Carlo methods in the context of approximating RBF kernels via orthogonal transforms (instances of the structured technique). Will discuss techniques such as TD(0), TD(λ), LSTDQ, LSPI, DQN.
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 24 students (40 max) as of 4:11PM Wednesday, June 29, 2022
Subject Industrial Engineering and Operations Research
Number E6617
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate, GSAS
Campus Morningside
Section key 20223IEOR6617E001

Home      About This Directory      Online Bulletins      ColumbiaWeb      SSOL
SIS update 06/29/22 16:11    web update 06/29/22 16:34