Firas Abuzaid

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 13

Top Topics

Matrix Factorization

Network Topologies

Resource Allocation

Top Venues

Proc. VLDB Endow.

Publications

Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Matei Zaharia
Don't Give Up on Large Optimization Problems; POP Them! CoRR (2021)
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen Boyd, Matei Zaharia
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR (2021)
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen Boyd, Matei Zaharia
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP (2021)
Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Ananthanarayan, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia
DIFF: a relational interface for large-scale data explanation. VLDB J. 30 (1) (2021)
Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis
Contracting Wide-area Network Topologies to Solve Flow Problems Quickly. NSDI (2021)
Firas Abuzaid, Geet Sethi, Peter Bailis, Matei Zaharia
To Index or Not to Index: Optimizing Exact Maximum Inner Product Search. ICDE (2019)
Shoumik Palkar, Firas Abuzaid, Peter Bailis, Matei Zaharia
Filter Before You Parse: Faster Analytics on Raw Data with Sparser. Proc. VLDB Endow. 11 (11) (2018)
Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Anathanaraya, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia
DIFF: A Relational Interface for Large-Scale Data Explanation. Proc. VLDB Endow. 12 (4) (2018)
Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri
MacroBase: Prioritizing Attention in Fast Data. ACM Trans. Database Syst. 43 (4) (2018)
Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia
Optimizing Deep CNN-Based Queries over Video Streams at Scale. CoRR (2017)
Firas Abuzaid, Geet Sethi, Peter Bailis, Matei Zaharia
SimDex: Exploiting Model Similarity in Exact Matrix Factorization Recommendations. CoRR (2017)
Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia
NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale. Proc. VLDB Endow. 10 (11) (2017)
Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet S. Talwalkar
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS (2016)
Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher Ré
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. DanaC@SIGMOD (2015)
Firas Abuzaid, Stefan Hadjis, Ce Zhang, Christopher Ré
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. CoRR (2015)