Edo Liberty

Principal Research Scientist
Yahoo! Labs
New York, NY
edo.liberty@ymail.com
עידו ליברטי
homepage


About me:

I received my B.Sc in Physics and Computer Science from Tel Aviv university and my Ph.D in Computer Science from Yale University, under the supervision of Steven Zucker. After that, I was a Post-Doctoral fellow at Yale in Program in Applied Mathematics.

Since 2009 I am at Yahoo. I now lead the Scalable Machine Learning group in Yahoo Labs. We focus on the theory and practice of (very) large scale data mining and machine learning.

My personal research interests include fast dimensionality reduction, clustering, streaming and online algorithms, text and pattern mining, machine learning, and large scale numerical linear algebra. I am especially fond of randomized algorithms and high dimensional geometry.


Teaching:

0368-3248-01-Data Mining - Tel Aviv University
The course covered algorithmic tools for data mining massive data sets.
It was given as a theory/algorithms class with and emphasis on randomization.
fall 2011
fall 2012
fall 2013


Conference Publications:

Online Principal Component Analysis
Christos Boutsidis, Dan Garber, Zohar Karnin, Edo Liberty
SODA 2014

Space Lower Bounds for Itemset Frequency Sketches
Edo Liberty, Michael Mitzenmacher, Justin Thaler
Submitted

Near-optimal Distributions for Data Matrix Sampling
Dimitris Achlioptas, Zohar Karnin, Edo Liberty
NIPS 2013

Simple and Deterministic Matrix Sketches
Edo Liberty (see slides and experimental results in json format)
Also, here is talk I gave at the Simons Institute about this.
Best paper at KDD 2013

Threading Machine Generated Email
Nir Ailon, Zohar Karnin, Edo Liberty, Yoelle Maarek
WSDM 2013
Best paper at TechPulse 2012

Unsupervised SVMs: On the complexity of the Furthest Hyperplane Problem
Zohar Karnin, Edo Liberty, Shachar Lovett Roy Schwartz and Omri Weinstein
COLT 2012 (Slides)

Framework and Algorithms for Network Bucket Testing
Liran Katzir, Edo Liberty, and Oren Somekh
WWW 2012

An Almost Optimal Unrestricted Fast Johnson-Lindenstrauss Transform
Nir Ailon, Edo Liberty
Best paper at SODA 2011

Improved Approximation Algorithms for Bipartite Correlation Clustering
Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke van Zuylen
ESA 2011 (slides)

Automatically Tagging Email by Leveraging Other Users' Folders
Yehuda Koren, Edo Liberty, Yoelle Maarek, and Roman Sandler
KDD 2011

Estimating Sizes of Social Networks via Biased Sampling
Liran Katzir, Edo Liberty, and Oren Somekh
WWW 2011

Inverted Index Compression via Online Document Routing
Gal Lavee, Ronny Lempel, Edo Liberty, and Oren Somekh
WWW 2011

Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Nir Ailon, Edo Liberty
ICALP 2009

Dense Fast Random Projections and Lean Walsh Transforms,
Edo Liberty, Nir Ailon, Amit Singer
RANDOM 2008

Fast Dimension Reduction Using Rademacher Series on Dual BCH Codes
Nir Ailon, Edo Liberty
SODA 2008


Journal Publications:

Estimating Sizes of Social Networks via Biased Sampling
Liran Katzir, Edo Liberty, Oren Somekh, Ioana A. Cosma
Journal of Internet Mathematics

An Almost Optimal Unrestricted Fast Johnson-Lindenstrauss Transform
Nir Ailon, Edo Liberty
TALG (Transactions on Algorithms)

Improved Approximation Algorithms for Bipartite Correlation Clustering
Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke van Zuylen
To appear in SICOMP (SIAM Journal on Computing)

Unsupervised SVMs: On the complexity of the Furthest Hyperplane Problem
Zohar Karnin, Edo Liberty, Shachar Lovett Roy Schwartz and Omri Weinstein
JMLR 2012 (Journal of Machine Learning Research)

Dense Fast Random Projections and Lean Walsh Transforms,
Edo Liberty, Nir Ailon, Amit Singer
DCG 2010 (Discrete and Computational Geometry)

The Mailman algorithm: a note on matrix vector multiplication
Edo Liberty, Steven Zucker
IPL 2009 (Information Processing Letters)

Fast Dimension Reduction Using Rademacher Series on Dual BCH Codes
Nir Ailon, Edo Liberty
DCG 2008 (Discrete and Computational Geometry)

A fast randomized algorithm for the approximation of matrices
Edo Liberty, Franco Woolfe, Vladimir Rokhlin, and Mark Tygert
ACHA 2008 (Applied and Computational Harmonic Analysis)

Randomized algorithms for the low-rank approximation of matrices,
Edo Liberty, Franco Woolfe, Per-Gunnar Martinsson, Vladimir Rokhlin, and Mark Tygert.
PNAS 2007 (Proceedings of the National Academy of Sciences)

Electrons and Phonons on the Square Fibonacci Tiling
Roni Ilan, Edo Liberty, Shahar Even-Dar Mandel, and Ron Lifshitz.
Ferroelectrics 2004.


Patents:

System and Method for Identification of Subject Line Templates
Zohar Karnin, Edo Liberty, David Wajc, Guy Halawi

Methods for filtering data and filling in missing data using nonlinear inference
Edo Liberty, Steven Zucker, Yosi Keller, Mauro M. Maggioni, Ronald R. Coifman, Frank Geshwind, and in collaboration with Plain Sight Systems.

Method And System For Clustering Data Points
Nir Ailon, Edo Liberty, Hari Khalsa

Mining Global Email Folders For Identifying Auto-folders tags
Vishwanath Ramarao, Andrei Broder, Idan Szpektor, Edo Liberty, Yehuda Koren, Mark Risher, and Yoelle Maarek

Methods for Displaying Contextually Targeted Content on a Connected Television
Zeev Neumeier, Edo Liberty

Methods for Identifying Video Segmets and Displaying Contextually Targeted Content on Connected Televisions
Zeev Neumeier, Edo Liberty

Sponsored Apps Marketplace in eMail
Ronny Lempel, Yoelle Maarek, Edward Bortnikov, Edo Liberty

A System for Email sequence identification
Edo Liberty, Zohar Karnin, Yoelle Maarek, Natalie Aizenberg


Invited talks, Tutorials, Workshops, Technical reports and other IP:

Correlation Clustering: from Theory to Practice
KDD 2014 Tutorial

Data Mining in the Streaming Model: Approximating Massive Matrices
IBM Machine Learning Day 2012

Streaming Data Mining
KDD 2012 tutorial on practical algorithms in mining streaming data; with Jelani Nelson.

Fast Random Projections, theory and practice
14th Mini-Workshop on Applied and Computational Mathematics

Fast Random Projections survey and new results,
SODA 2011 and IAS and Yale math seminars 2011.
Video of the talk at IAS available here.

Accelerated Dense Random Projections
PhD Thesis. See also Talk slides

Scoring Psychological Questionnaires using Geometric Harmonics,
Social Data Mining and Knowledge Building (IPAM) 2007.

Scoring Psychological Questionnaires using Geometric Harmonics,
Edo Liberty, Moshe Almagor, Steven Zucker, Yosi Keller, and Ronald Coifman
Snowbird Learning Workshop 2007.

Learning functions on graphs and manifolds; Application to Psychological testing,
(Inner departmental OGST 2006).


Reviews and program committee memberships at:

SODA, ESA, FOCS, KDD, AISTATS, SIGIR, WSDM, WWW


Personal:

I'm also an enthusiastic kitesurfer and snowboarder.
Here are some pictures of that.

This site was last updated Sep 2013