Yoav Freund's Home Page
Yoav Freund's home page
General Information
My main area of research is computational learning theory and the
related areas in probability theory, information theory, statistics
and pattern recognition.
I work on applications of machine learning algorithms in big data.
Prospective Students
If you are a masters or undergrad student
currently in UCSD
and you are interested in doing a project in data analysis, please
consult the
Matchpoint Page
Publications
Courses
DSC215: Statistical Thinking and Experimental Design
Winter 2024
DSC230: Big Data Analytics using Spark
Spring 2020
CSE103: Practical introduction to probability and statistics
. Fall 2021
CSE254: Online Learning - Theory and Applications
Winter 2020
CSE255: Big Data Analytics using Spark
Spring 2019
CSE254: Online Learning - Theory and Applications
Winter 2018
CSE254: Queuing Theory
Winter 2016
CSE101: Algorithms
fall 2010.
CSE291: Machine Perception using FPGAs
fall 2009.
Statistical Machine Learning (Boosting)
Winter 2009.
Discriminative Learning
given winter quarter 2008.
Seminar on Active Learning and Sequential Experimental Design
Fall 2006.
Online Learning
given winter quarter 2006.
Lessons materials
Current PhD. Students
Yuncong Chen
Julaiti Alafate
Former PhD. Students
Akshay Balsubramany
German Creamer
Eugene Ie
William Beaver
Evan Ettinger
Mayank Kabra
Matt Jacobsen
Sunsern Cheamanunkul
Matt Elkherj
Programs and Servers
Automatic CameraMan
Software for RP-trees
JBoost
a Java implementation of Adaboost and other boosting-based learning algorithms.
Matthew Elliot's new implementation of the
mind reading machine
. Now it can also run in the brwoser on your smartphone!
An
applet
demonstrating adaboost.
Fun Stuff
nerd wisdom
a cool blog for nerds
Talks
Is consciousness important for artificial intelligence?
My FaceBook Page
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Wiki Page
The Twiki page has been retired. You can still access it
here
but it cannot be edited.
Instead of twiki we started a
MediaWiki
You'll need to request an account to use it. The default is that unregistered users can view, but not edit, any page on the wiki. Registered people can, by default, edit any page. However, using the appropriate flags, any user or group of users can be restricted from reading or from writing any page. More information on how to use the wiki is available from the main page.
MediaWiki Main Page
Machine Learning Resources
The official COLT web page
www.learningtheory.org
An archive for the 1999 workshop
on Online Decision Algorithms
email: yfreund@ucsd.edu
phone: (858) 534-1668
Availability calendar
If we agreed to meet, please suggest 2-3 time slots that would work for both of us.
Department of Computer Science and Engineering, Room 4126
University of California, San Diego
9500 Gilman Drive, Mail Code 0404
La Jolla, CA 92093-0404
USA
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Updated: 1/27/2016