Statistical Machine Learning

10-702/36-702, Spring 2013

Larry Wasserman, Aarti Singh

Class Assistant: Michelle Martin
Teaching Assistants: Akshay Krishnamurthy, Yifei Ma


Lecture:

Date and Time: Monday and Wednesday, 1:30 - 2:50 pm
Location: Baker Hall A51


Home Lectures

Week Date Day Lecture Topic and (Video for Registered Students) Due
1 Jan
14
Monday 1
Concentration of Measure
(L)
 
Jan
16
Wednesday 2
Concentration of Measure
(L,A)
 
2 Jan
21
Monday
No class - Martin Luther King day
 
Jan
23
Wednesday 3
Concentration of Measure
(A)
Hwk 1 is out
3 Jan
28
Monday 4
Function Spaces
(L)
 
Jan
30
Wednesday 5
Nonparametric Density Estimation
(L)
 
4 Feb
4
Monday 6
Nonparametric Density Estimation, Classification
(L,A)
 
Feb
6
Wednesday 7
Nonparametric Classification
(A)
Hwk 1 due Friday
5 Feb
11
Monday 8
Nonparametric Regression
(L)
 
Feb
13
Wednesday 9
RKHS
(L)
Hwk 2 out / Project proposals due Friday / / [hwk2 hint]
6 Feb
18
Monday 10
Minimax Theory
(A)
 
Feb
20
Wednesday 11
Minimax Theory
(A)
7 Feb
25
Monday 12
Minimax Theory
(L)
 
Feb
27
Wednesday 13
Nonparametric Bayes
(L)
Hwk 2 due Friday
8 Mar
4
Monday 14
Model Selection
(A)
 
Mar
6
Wednesday   Midterm exam
 Hwk3 out
9 Mar
11
Monday   Spring break; no class
Mar
13
Wednesday
10 Mar
18
Monday 15
Simulation
(L)
 
Mar
20
Wednesday 16
Simulation
(L)
Hwk 3 due Friday
11 Mar
25
Monday 17
Random Projections
(A)
 
Mar
27
Wednesday 18
JL Lemma and RIP
(A)
Project progress report
(Due Friday)
12 Apr
1
Monday 19
Convexity and Optimization
(A)
 
Apr
3
Wednesday 20
Sparsity and Lasso
(A)
Hwk4 out
13 Apr
8
Monday 21
Graphical Models
(L)
 
Apr
10
Wednesday 22
Graphical Models
(L)
14 Apr
15
Monday 23
Dimensionality reduction:PCA
(A)
 
Apr
17
Wednesday 24
Dimensionality reduction: Manifolds
(L)
Hwk5 out
15 Apr
22
Monday 25
Clustering
(L)
 
Apr
24
Wednesday 26
Clustering
(L)
 
16 Apr
29
Monday 27
Student project spotlights Spotlights schedule
May
1
Wednesday 28
Student project spotlights Hwk5
(Due Friday)
Final projects due Monday, May 6