Advice for Graduate Students in Statistics

Posted on June 12, 2008 by Amir massoud Farahmand

Advice for Graduate Students in Statistics by Michael Steel. I like this guy! (:

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Nonparametric Bayesian Methods

Posted on June 9, 2008 by Amir massoud Farahmand

I collect a few references/tutorials to nonparametric Bayesian methods for inference.

I will try to collect a few papers that analyze the convergence rate of these nonparametric Bayesian methods in a future post. I remember I’d found a few! (;

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Reinforcement Learning blog

Posted on May 30, 2008 by Amir massoud Farahmand

Satinder Singh started a new blog named Reinforcement Learning blog. Now, I can see that Michael Littman is one of the authors of the blog – though he hasn’t published any post yet. This is a good news for RL. Good luck to them!

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Bracketing Entropy Bounds for Distribution Function

Posted on May 20, 2008 by Amir massoud Farahmand

Sh. Song and J. Wellner, “How many distribution functions are there? Bracketing entropy bounds for high-dimensional distribution functions,” 2008.

Posted in Concentration Inequalities, Papers | Leave a comment

Embedding, Metric Entropy, etc.

Posted on April 26, 2008 by Amir massoud Farahmand

Dorothee D. Haroske, “Embeddings Of Some Weighted Function Spaces On R_n: Entropy and Approximation Numbers (A Survey of some recent results),” 1997.

Ridgway Scott, “Tutorial on Sobolev Spaces,“

Posted in Learning Theory, Papers | Leave a comment

Shannon Sampling and Learning Theory

Posted on April 18, 2008 by Amir massoud Farahmand

These two papers by Steve Smale and Ding-Xuan Zhou:

Shannon Sampling and Function Reconstruction from Point Values
Shannon Sampling II. Connections to Learning Theory

Posted in Concentration Inequalities, Learning Theory, Papers, To Read | Leave a comment

Statistical Performance of Support Vector Machines

Posted on April 10, 2008 by Amir massoud Farahmand

Tonight, I found this paper by Blanchard, Bousquet, and Massart: “Statistical Performance of Support Vector Machines” (2008)

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Compression-related ideas in Machine Learning

Posted on April 4, 2008 by Amir massoud Farahmand

Shuheng Zhou, John Lafferty, and Larry Wasserman, “Compressed Regression,” 2008.

Boris Ryabko, “Compression-based methods for nonparametric density estimation, online prediction, regression and classification for time series,”

Posted in Papers, Regression | Leave a comment

A few papers on estimation and control of robotic systems

Posted on April 2, 2008 by Amir massoud Farahmand

These are papers that I want to read (or can be considered for our reading group).

Seems to be relevant to our IROS 2007 paper (A. M. Farahmand, A. Shademan, and M. Jagersand, “Global Visual-Motor Estimation for Uncalibrated Visual Servoing,” IROS 2007. Check later.

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Tumblr and I

Posted on March 28, 2008 by Amir massoud Farahmand

I have used Tumblr microblogging service to organize my machine learning-related stuff for a while. You can see it here.
Although I really like the ease of tumbling, there is a big problem here: it doesn’t naturally come with searching tool and commenting system.
It happened to me that I tried to find some papers that I found a few weeks ago, but I couldn’t find it without going through all the archive. So, I think I need to come back to this blog again.
The problem is that I may just post a link to a paper without any discussion. This may distract you readers. What do you think?! Will you become unhappy if I do so?!

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