SoloGen

Machine Learning-related surfings of SoloGen

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Mar 7

On Pattern Theory (David Mumford)

David Mumford, “Empirical Statistics and Stochastic Models for Visual Signals”.
David Mumford, “Pattern Theory: the Mathematics of Perception” (presentation slides)

Mar 2

How to Compare Different Loss Functions and Their Risks

by Ingo Steinwart.

Feb 15

Evolutionary Epistemology (EET and EEM)

Feb 12

Conditional Density Estimation

Chen, Linton and Robinson, “The Estimation of Conditional Densities”. (some interesting results regarding the mixing properties for Markov models)
Hansen, “Nonparametric Conditional Density Estimation,” 2004. (Two-stage method for conditional density estimation: estimate the mean, and then estimate the deviation from the mean)
Yoon, “Bayesian Conditional Density Estimation,” 2007. (Bayesian treatment. Quantile regression-based. Univariate rates - but I guess with extra assumption)
Holmes, Gray, and Isbell, “Fast Nonparametric Conditional Density Estimation,” 2007. (A computational framework for calculating the bandwidths)
Efromovich, “Conditional Density Estimation in a Regression Setting,” 2007. (Need to take a look later.)

Feb 11

A few papers by Terrence J. Sejnowski

L. Finelli and T. Sejnowski, “What is Consolidated During Sleep-Dependent Motor Skill Learning?,” 2005.
T. Flash and T. Sejnowski, “Computational Approaches to Motor Control,” 2001.
D. Garlick and T. Sejnowski, “There is more to Fluid Intelligence than Working Memory Capacity and Executive Function,” 2006.
T. Sejnowski, “Sleep and Memory,” 1995.

Feb 6

Yuhong Yang

Feb 3

A Few Papers on ADP and etc from Bertsekas et al.

H. Yu and D. Bertsekas, Basis Function Adaptation Methods for Cost Approximation in MDP, 2009.
H. Yu and D. Bertsekas, New Error Bounds for Approximations from Projected Linear Equations, 2008.
H. Yu and D. Bertsekas, A Least Squares Q-Learning Algorithm for Optimal Stopping Problems, 2006.
D. Bertsekas, Dynamic Programming and Suboptimal Control: A Survey from ADP to MPC, 2005.
D. Bertsekas, New Results in Temporal Difference Methods (Slides).
H. Yu and D. Bertsekas, Convergence Results for Some Temporal Difference Methods Based on Least Squares, 2007.

Jan 27

Mathematical Issues in Dynamic Programming

by Dimitri Bertsekas and Steven Shreve.

Talks about the measurability problems one may face when he wants to deal with uncountable state spaces.

Jan 23

Stochastic Approximation: A Dynamical Systems Viewpoint (2008)

A book by Vivek S. Borkar.

Thanks to Francisco Melo for the pointer.

Active Learning Literature Survey

by Burr Settles.

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