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Machine Learning reading groups
PS: From Yaroslav Bulatov’s Blog Post
This list is not very up to date. This is a permalink so feel free to link to it. Please let me know through email, or comment section about other up-to-date MLRGs you know (site must list papers)
Current MLRGs
(as of Feb 19th 2005)
- Oregon State U (Roweis, Tishby, Jordan, Collins, Caticha)– mlrg
- Gatsby (McKay, ARD, LDA) — mlrg
- Humboldt-Universitat zu Berlin (ICML, KDD papers)– mlrg
- TTIC Chicago list of readings (Langford, Kakade, McAllester)seminars
- University of New Mexico (Jaakkola, Mooney, Scholkopf) — mlrg
- Oregon Health and Science U. (Seeger, Geman, MacKay) — mlrg
- Washington University (Weiss, Srebro) — mlrg
- MIT (Neal, Hofmann, Tishby) — mlrg
- University of California, Irvine (Blei, Jordan, Welling) — mlrg
- University of Amsterdam (Manning, Koller, Collins, Valiant) mlrg
- Hebrew University (IB, SVM, Rademacher, Chechnik) mlrg
- Cornell (Jordan, Schuurmans,Cristianini) — mlrg
- South Carolina (Kakade, Dresner, Feigenbaum) mlrg
- U. Alberta (Sutton, RL, MaxEnt)– mlrg
- Weizemann Institute, (vision oriented, Jordan, Buntine) — mlrg
- Helsinki U of Tech (mostly neuroscience, Sejnowski) — mlrg
- University of London (vision oriented) — mlrg
- Rutgers (Michael Jordan‘s notes) — mlrg
- UMass (vision oriented, ICA, kernel PCA) — mlrg
- Edinburgh (NLP group, Hoffman, Manning,Collins) — mlrg
- U. of California, San Diego (Tishby, Lafferty, Joachims, Herbrich) — mlrg
- UTexas (Aggarwal, Altun, Manning) — mlrg
Seminars,Journal Clubs,slightly outdated MLRGs
- Columbia (November) — mlrg
- U.Toronto (July)– mlrg
- Tufts University (December) — mlrg
- Australian National U. (December)– mlrg
- Centre Universitaire d’Informatique (June) —journal club
- Microsoft Research (Herbrich, large-margin, factor graphs, kernels) — mlrg
- CWI Journal Club (Netherlands) journal club
- Seminars at NYU (Langford, Saul) seminars
- Graphical Models Reading Group at CMU (about 10 months old) mlrg
Who is being read?
Below is the list of most popular authors ranked by how many groups in the “current MLRGs” section had them listed:
9 – Koller
8 – Jordan
7 – Weiss
6 – Taskar, Saul, McCallum, Lafferty, Ghahramani, Friedman, Collins
5 – Roweis, Pereira, Ng, Domingos
4 – Zhu, Tishby, Russell, Roth, Li, Kearns, Jaakkola, Guestrin, Blei
3 – Zhou, Yair, Wong, Wellner, Tenenbaum, Slonim, Singh, Singer, Scholkopf, Schapire, Mooney, Mansour, Manning, MacKay, Joachims, Hofmann, Griffiths, Freund, Freeman, Dengyong, Breiman, Bartlett, Altun
Questions:
- What other reading groups have websites?
- What are other ways of finding interesting papers?
http://www-2.cs.cmu.edu/~learning/
http://www.eecs.berkeley.edu/~wainwrig/
(this is a very nice homepage of a professor on machine learning)
http://www1.cs.columbia.edu/~jebara/index.html
(another homepage of a professor on machine learning)
http://www.athenasc.com/convexity.html
http://measuringmeasures.blogspot.com/
http://pindancing.blogspot.com/
ps: the following list is the useful articles on machine learning
http://measuringmeasures.com/blog/2010/3/12/learning-about-machine-learning-2nd-ed.html
http://pindancing.blogspot.com/2010/01/learning-about-machine-learniing.html
http://news.ycombinator.com/item?id=1055042
http://blog.smellthedata.com/2010/07/choosing-first-machine-learning-project.html
ps: the following article gives a list of machine learing blogs
http://ecome.wordpress.com/2010/11/15/machines-learning-blogs/
ps: the following link is the program of statistical machine learning at Berkeley University
http://www.stat.berkeley.edu/~gvrocha/statlearning/index.html
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