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
Statistical Performance of Support Vector Machines
Tonight, I found this paper by Blanchard, Bousquet, and Massart: “Statistical Performance of Support Vector Machines” (2008)
A few papers on estimation and control of robotic systems
These are papers that I want to read (or can be considered for our reading group).
- Dj. Mitrovic, S. Klanke, and S. Vijayakumar, “Adaptive Optimal Control for Redundancy Actuated Arms,” SAB 2008.
- G. Chesi and Y. S. Hung, “Global Path-Planning for Constrained and Optimal Visual Servoing,” IEEE Trans. Robotics, 2007.
- J.A. Ting, M. Mistry, J. Peters, S. Schaal, J. Nakanishi, “A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics,” RSS 2006.
- J.A. Ting, A. D’Souza, S. Vijayakumar, and S. Schaal, “A Bayesian Approach to Empirical Local Linearization for Robotics,” ICRA 2008.
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.
Lectures Notes on Convex Analysis [+ Optimization]
Christian LÉONARD, “A Set of Lecture Notes on Convex Optimization with Some Applications to Probability Theory“, Lecture Notes, 2006.
Probability Inequalities and Machine Learning
Michael Steele has this course on “Probability Inequalities and Machine Learning”. This is the kind of course I’ve really liked to take. Anyway, for most of us who cannot attend the course, following his suggested reading may help somewhat.
There are some known papers/lecture notes in the reading list; such as Gabor Lugosi’s “Concentration of measure inequality” which is very readable.
There are also some other books that I hadn’t heard of it (what a shame), but seems to be nice: Pascal Massart‘s Concentration Inequalities and Model Selection.
Also in the page I found this paper by Mease and Wyner entitled “Evidence Contrary to the Statistical View of Boosting”. I definitely should read it.
well … that’s it for now!