Machine Learning Seminar

CS 570
Computer Science Department, Portland State University

Fall 2018


Time: Thursdays, 4:00-5:30pm

Location: FAB 88-03

Instructor: Melanie Mitchell, FAB 115-13, (503) 725-2412, e-mail
Office hours: Tuesdays and Thursdays, Noon-1pm, or by appointment

Course Mailing list: mlseminar2018@cs.pdx.edu

Course description: This course is a one-credit graduate seminar for students who have already taken a course in Machine Learning. Students will read and discuss recent papers in the Machine Learning literature. Each student will be responsible for presenting at least one paper during the term. This one-credit course will be offered each term, and students may take it multiple times. CS MS students who take this course for three terms may count it as one of the courses for the "Artificial Intelligence and Machine Learning" masters track requirement.

Prerequisites: CS 445/545 or permission of the instructor.

Textbook: None. We will read recent papers from the literature.

Course Work and Homework: One or more papers will be assigned per week for everyone in the class to read, along with a list of questions about the paper(s) that each student needs to answer before the following class. Each week one or more students will be assigned as discussion leaders for the week's papers.

Topic for Fall Term 2018: Fairness and Transparency in Machine Learning

Schedule for Fall Term 2018: This will be progressively filled in during the term.

Date

Presenter(s)

Readings

Questions

Sept 27

Melanie

Slides

Oct 4

Lewis and Eric Question set 1, due Thursday Oct. 4 by 4pm.

Oct 11

Mru and Jordan Question set 2, due Thursday Oct. 11 by 4pm.

Oct 18

Alex and Yeganeh

Oct 25

Sheng and Kevin

Week 5 Questions

Nov 1

Phillip and Yuhao

Week 6 Questions

Nov 8

Zach and Gaurav

Week 7 Questions

Nov 15

Lakshmi and Logan

Week 8 Questions

Nov 22

Thanksgiving: No class

Nov 29

Melanie