Schedule

(The schedule of topics is tentative and subject to change.)

Slides adapted from CS446-Spring 2018 by Telgarsky and Schwing

Lecture Date Topics Additional Refs Notes Lecture Slides Scribe Notes
Pre-requisite
1 8/26/2019 Intro to Machine Learning Slides, Annotated
2 8/28/2019 Linear Regression HW0 Assigned (not graded) Slides, Annotated Scribe
9/2/2019 LABOR DAY HOLIDAY (NO CLASS)
3 9/4/2019 Logistic Regression Slides, Annotated Scribe (unedited)
4 9/9/2019 Optimization 1 (Primal) Slides, Annotated
5 9/11/2019 Optimization 2 (Dual) HW1 Assigned Slides, Annotated Scribe (unedited)
6 9/16/2019 Support Vector Machine Slides, Annotated Scribe (unedited)
7 9/18/2019 Multiclass Classification, Kernel Methods Slides, Annotated Scribe (unedited)
8 9/23/2019 Deep Learning 1 (Activation Functions, layers) HW1 Due on Tuesday Slides, Annotated Scribe (unedited)
9 9/25/2019 Deep Learning 2 (Backpropagation) HW2 Assigned Slides, Expanded Scribe (unedited)
10 9/30/2019 Ensemble Methods Slides, Annotated Scribe (unedited)
11 10/2/2019 Learning Theory - 1 Slides, Annotated
12 10/7/2019 Learning Theory - 2 HW2 Due on Friday Slides, Annotated
10/9/2019 Midterm Review Slides, Annotated
10/14/2019 Midterm Exam
13 10/16/2019 Structured Prediction
14 10/21/2019 PCA, SVD
15 10/23/2019 K-means HW3 Assigned
16 10/28/2019 Gaussian Mixture Models
17 10/30/2019 Expectation-Maximization (E-M)
18 11/4/2019 Hidden Markov Models; Intro to GANs HW3 Due on Tuesday
19 11/6/2019 Generative Adversarial Networks HW4 Assigned
20 11/11/2019 Variational Auto-Encoders
21 11/13/2019 Autoregressive Methods
22 11/18/2019 Markov Decision Process HW4 Due on Tuesday
23 11/20/2019 Q-Learning HW5 Assigned
11/25/2019 FALL BREAK: NOV 23 - DEC 1
11/27/2019 FALL BREAK: NOV 23 - DEC 1
24 12/2/2019 Policy Gradient, Actor-Critic
25 12/4/2019 Interpretability (or Fairness)
26 12/9/2019 Fairness in ML HW5 Due on Tuesday
12/11/2019 Final Review Last Day of Instruction
Final Exam (DEC 17, 8am - 11am) Set by Registrar