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Machine Learning Reading Group

Welcome to the wiki of the machine learning reading group.

Mailing list

We maintain an announcement/discussion list for the reading group. You may sign up for the list here.

Schedule (Spring 2007)

Our weekly meetings are Thu 1:30-3:00pm in the AI lab on the 4th floor of the CS building.

Schedule of topics:

  • Feb 2nd - Privacy preserving DM (Joe)
  • inverse RL (Umar)
  • disc/gen approaches (Bishop...)
  • active learning (BK)
  • hidden process models (MC)
  • Gaussian processes (Z)
  • Dirichlet processes
  • Semisupervised learning (Florian) (West) (Lafferty, Wasserman)
  • Quantam neural networks (Vaneet)
  • Manifold learning (Z)
  • On-line learning (Berk)
  • Music stuff/transcription (R)
  • Varaitional methods (JC)
  • Random projections (Charikar)

Schedule (Fall 2006)

Our weekly meetings are Fridays, 3pm to 5pm, in CS 402.

Scheduled readings:

Proposed Topics and Papers

Please add further topics, suggest papers for particular topics, etc. here.


(Participants, please add your name to the list below.)


  • David Blei
  • Rob Schapire


  • Edo Airoldi, LSI & CS
  • Florian Markowetz, LSI


  • Zafer Barutcuoglu, CS
  • Jordan Boyd-Graber, CS
  • Joseph Calandrino, CS
  • Jonathan Chang, EE
  • Miroslav Dudik, CS
  • Rebecca Fiebrink, CS
  • Berk Kapicioglu, CS
  • Umar Syed, CS