Fares Hedayati
Email: fareshed
at eecs.[university].edu
I am a PhD
candidate in computer science at UC Berkeley working with Prof. Peter Bartlett. My
primary research interests are in theoretical machine learning, online learning
and minimum description length principle. I have also worked on OCR (Optical
Character Recognition) and handwriting recognition. Here is a link to my CV on linkedin.
Publications
The Optimality of Jeffreys Prior for Online Density Estimation and the
Asymptotic Normality of Maximum Likelihood Estimators [pdf]
Fares Hedayati, Peter
Bartlett
Exchangeability Characterizes
Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction
with Jeffreys Prior [pdf]
Fares Hedayati, Peter
Bartlett
Recognition of Tibetan wood
block prints with generalized hidden Markov and kernelized
modified quadratic distance function [pdf]
Fares Hedayati, Jike Chong, Kurt Keutzer
Horizon-Independent Optimal
Prediction with Log-Loss in Exponential Families [pdf]
Peter Bartlett, Peter Grunwald,
Peter Harremoes, Fares Hedayati, Wojciech
Kotlowski
Teachings
CS70: Discrete Mathematics and Probability Theory
Spring 2011, James Demel, UC Berkeley
CS170: Efficient Algorithms and Intractable Problems
Fall 2008, Satish Rao, UC Berkeley
CS61A: Structure and Interpretation of Computer Programs
Fall 2009, Brian Harvey,
UC Berkeley