Welcome to the Machine Learning Reading Group at Brown University. We will meet Wednesdays at 1pm in the CIT library (on floor 4).
MLRG meetings and other news are announced via posts to the ML-READING-GROUP list. You can subscribe at listserv.brown.edu. The MLRG leader this semester is Micha Elsner.
This term we will continue our organization from last semester, looking into 3 or 4 topics in depth, in 3-4 week sessions. Our topics will be Online and Active Learning, Boosting and Variational Methods. (Sorry-- I really wanted to get to variational methods, but we didn't. Maybe next year.)
Date | Topic | Important People |
---|---|---|
Jan 31 | Finish Up Belief Propagation Constructing free-energy approximations and generalized belief propagation algorithms |
Topic Leader: Stefan Roth |
Feb 7 | Organizational Meeting | Everyone |
Feb 14 | Online and Active Learning Intro (Lubrano) 20 Questions A Note on the Utility of Incremental Learning Locally Weighted Projection Regression: An O(n) Algorithm for Incremental Real Time Learning in High Dimensional Space |
Dan, Jonas |
Feb 21 | Locally Weighted Projection Regression: Is it Any Good? Fast and Efficient Incremental Learning for High-Dimensional Movement Systems (6 pgs) Incremental Online Learning in High Dimensions (33 pgs) LWPR code (C++ and Matlab) |
Dan, Jonas |
Feb 28 | Sparse Online Gaussian Processes Sparse Online Gaussian Processes |
Dan, Jonas |
March 7 | Object Categorization (Rob Fergus) One-Shot Learning of Object Categories job talk: Monday, March 12 (noon) grad student meeting: March 12 (4pm) |
undecided |
March 14 | Example-based Learning (Gregory Shakhnarovich) Fast Pose Estimation With Parameter-sensitive Hashing job talk: Wednesday, March 14 (noon) grad student meeting: March 14 (4pm) |
undecided |
March 21 | Energy-based Component Analysis (Room 368) No paper to read yet! |
Fernando De la Torre (outside speaker, host Michael Black) |
March 28 | No meeting. | |
April 4 | Bayesian Latent Variable Models (Ricardo Silva) Towards association rules with hidden variables job talk: Monday, April 2 (noon) grad student meeting: April 2 (4pm) |
undecided |
April 11 | Comparing Clusters With Information Theory Comparing Clusterings (8 pgs) Comparing Clusterings-- An Information-based Distance (41 pgs) |
undecided |
April 18 | Boosting: Adaboost and Extensions Improved Boosting Algorithms Using Confidence-rated Predictions |
Greg |
April 25 | Generalization Performance of Adaboost and Extensions continue to read Improved Boosting Algorithms Using Confidence-rated Predictions |
Greg |
May 2 | Canceled |
|
May 9 | Multi-label Adaboost continue to read Improved Boosting Algorithms Using Confidence-rated Predictions |
Greg, or Sung-Phil, or everyone! |
Links: Computational Modeling Reading Group (alternate Fridays, 10am)