Recitation Schedule

Recitations will be held on Tuesdays from 6pm - 7pm at 4211 GHC.

Date Topic Readings and useful links
Tue 9/16
GHC4211, 12 - 1pm
Sparsity, Lasso, Group Lasso, Nonparametric Regression
Ryan's Notes on Sparsity
Nonparametric Regression: Tsybakov Chapter 1.5, 1.6, 1.7
Fusso, Oliva, Poczos et al.
Tue 9/23
GHC4211, 6 - 7pm
KKT conditions
Geoff & Ryan's slides on KKT conditions
Boyd and Vandenberghe Chap. 5
Tue 10/7
GHC4211, 6 - 7pm
Kernels and RKHS (basics)
Chap 2 in Learning with Kernels
Wed 10/29
GHC4102, 6 - 7pm
KDE, kNN for Density Estimation, Classification
Factor Analysis
KDE, kNN: Section 2.5 in Bishop, PRML
Factor Analysis: Andrew Ng's notes
Tue 11/4
GHC4211, 6 - 7pm
Graphical Models
Tue 11/18
GHC4211, 6 - 7pm
Gaussian Processes
GPs for Regression (review), Classification and Optimization
Regression: Ch 2 in Rasmussen & Williams
Classification: Ch 3 in Rasmussen & Williams
Bayesian Optimization: Brochu et. al, A Tutorial on Bayesian Optimization
Tue 11/25
GHC4211, 6 - 7pm
Spectral Graph Theory for Clustering and Dimensionality Reduction
Luxburg, 2007, A Tutorial on Spectral Clustering
Belkin, Niyogi, 2002, Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

Homework help sessions

© 2014 Eric Xing @ School of Computer Science, Carnegie Mellon University
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