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Publications

Matrix Computations and Optimization in Apache Spark [pdf]
Reza Bosagh Zadeh, Xiangrui Meng, Burak Yavuz, Aaron Staple, Li Pu,
Shivaram Venkataraman, Evan Sparks, Alexander Ulanov, Matei Zaharia
Conference on Knowledge Discovery and Data Mining (KDD 2016)
Award: KDD Best Paper Award Runner-up

FusionNet: 3D Object Classification Using Multiple Data Representations [arxiv] [blog post] [slides]
Neural Information Processing Systems (NIPS 2016) - Workshop on 3D Deep Learning
Vishakh Hegde, Reza Zadeh

MLlib: Machine Learning in Apache Spark [arxiv]
Xiangrui Meng, Joseph Bradley, Burak Yavuz, Evan Sparks, Shivaram Venkataraman, Davies Liu,
Jeremy Freeman, DB Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin,
Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar
Journal of Machine Learning Research 2015

On the Evolution of Machine Learning: from Linear Models to Neural Networks [full pdf] [oreilly report]
Reza Bosagh Zadeh, interviewed by David Beyer
O'Reilly Media, 2015

Machine Learning using Big Data: How Apache Spark Can Help [magazine pdf]
Reza Bosagh Zadeh
Biomedical Computation Review, Spring 2015

Generalized Low Rank Models [pdf] [julia code] [python code] [spark code]
Madeleine Udell, Corinne Horn, Reza Bosagh Zadeh, Stephen Boyd
Foundations and Trends in Machine Learning.

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares [pdf] [spark code]
Trevor Hastie, Rahul Mazumder, Jason Lee, Reza Bosagh Zadeh
Journal of Machine Learning Research

Factorbird - a Parameter Server Approach to Distributed Matrix Factorization [pdf] [slides by shannon quinn]
Sebastian Schelter, Venu Satuluri, Reza Bosagh Zadeh
NIPS 2014 Workshop on Distributed Matrix Computations

Estimate of Shaking Intensity by Combining Earthquake Characteristics with Tweets [pdf] [slides] [video] [demo] [full]
Mahalia Miller, Lynne Burks, Reza Bosagh Zadeh
Tenth U.S. National Conference on Earthquake Engineering 2014
Press: TechCrunch, Mashable, Engadget, VentureBeat, Scientific American, Video Coverage, Full Coverage

Large Scale Graph Completion
Reza Bosagh Zadeh
Ph.d. Dissertation, April 2014. Advisor: Gunnar Carlsson
Award: Gene Golub Outstanding Thesis award, for best thesis in department.

Dimension Independent Matrix Square using MapReduce [pdf] [arxiv] [slides] [poster] [scalding code] [spark code]
Reza Bosagh Zadeh, Gunnar Carlsson
Poster at Symposium on the Theory of Computing (STOC 2013).
Press: Gigaom

On the Precision of Social and Information Networks [pdf] [slides]
Reza Bosagh Zadeh, Ashish Goel, Kamesh Munagala, Aneesh Sharma
Conference on Online Social Networks (COSN 2013). (Acceptance rate: 15%)

WTF: The Who to Follow Service at Twitter [pdf]
Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, Reza Bosagh Zadeh
World Wide Web Conference (WWW 2013). (Acceptance rate: 15%)
Product: http://twitter.com/who_to_follow
Press: TechCrunch

Dimension Independent Similarity Computation [pdf] [summary post] [slides] [spark code]
Reza Bosagh Zadeh, Ashish Goel
Journal of Machine Learning Research 2012.
Translation: Translated into Chinese by Xu Wenhao

Group Heterogeneity Increases the Risks of Large Group Size [abstract] [pdf]
Jonathan Cummings, Sara Kiesler, Reza Bosagh Zadeh, Aruna Balakrishnan
Psychological Science Journal 2012.

What's in a Move? Normal Disruption and a Design Challenge [pdf] [slides]
Reza Bosagh Zadeh, Sara Kiesler, Aruna Balakrishnan, Jonathan Cummings
Computer Human Interaction (CHI 2011). (Acceptance rate: 26%)

Research Team Integration: What It Is and Why It Matters [pdf]
Aruna Balakrishnan, Sara Kiesler, Jonathan Cummings, Reza Bosagh Zadeh
Computer Supported Cooperative Work (CSCW 2011). (Acceptance rate: 26%)

Supervised Clustering [pdf] [poster] [slides] [video]
Pranjal Awasthi, Reza Bosagh Zadeh
Neural Information Processing Systems (NIPS 2010). (Acceptance rate: 24%)

A Uniqueness Theorem for Clustering [pdf] [extension] [slides]
Reza Bosagh Zadeh, Shai Ben-David
Uncertainty in Artificial Intelligence (UAI 2009). (Acceptance rate: 27%)

Selected Technical Posts

The Hard Thing about Deep Learning, O'Reilly Radar Blog

From Image Recognition to Object Recognition, O'Reilly Radar Blog

Distributing the Singular Value Decomposition with Spark [example code], Databricks Developer Blog

Efficient similarity algorithm now in Spark, thanks to Twitter [example code], Databricks Developer Blog

All-pairs similarity via DIMSUM, Twitter Engineering Blog
Covered by: Gigaom

Using Twitter to measure earthquake impact in almost real time, Twitter Engineering Blog
Covered by: TechCrunch, Mashable, Engadget, VentureBeat, Scientific American, Video Coverage, Full Coverage

Dimension Independent Similarity Computation (DISCO), Twitter Engineering Blog
Translated into Chinese by Xu Wenhao: DISCO in Mandarin

Patents

Real Time Analyses Using Common Features
Venumadhav Satuluri, Sebastian Schelter, Reza Bosagh Zadeh
U.S. Patent Application No. 14/938,719

Stanord University