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ORCIDFiras Abuzaid
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2020 – today
- 2021
[j5]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): 45-70 (2021)- [c5]Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis:
Contracting Wide-area Network Topologies to Solve Flow Problems Quickly. NSDI 2021: 175-200 - [c4]Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia:
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP 2021: 521-537 - [i5]Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Matei Zaharia:
Don't Give Up on Large Optimization Problems; POP Them! CoRR abs/2104.06513 (2021) - [i4]Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia:
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR abs/2110.11927 (2021)
2010 – 2019
- 2019
- [c3]Firas Abuzaid, Geet Sethi, Peter Bailis, Matei Zaharia:
To Index or Not to Index: Optimizing Exact Maximum Inner Product Search. ICDE 2019: 1250-1261 - 2018
- [j4]Shoumik Palkar, Firas Abuzaid, Peter Bailis, Matei Zaharia:
Filter Before You Parse: Faster Analytics on Raw Data with Sparser. Proc. VLDB Endow. 11(11): 1576-1589 (2018) - [j3]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): 419-432 (2018) - [j2]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): 15:1-15:45 (2018) - 2017
- [j1]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): 1586-1597 (2017) - [i3]Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia:
Optimizing Deep CNN-Based Queries over Video Streams at Scale. CoRR abs/1703.02529 (2017) - [i2]Firas Abuzaid, Geet Sethi, Peter Bailis, Matei Zaharia:
SimDex: Exploiting Model Similarity in Exact Matrix Factorization Recommendations. CoRR abs/1706.01449 (2017) - 2016
- [c2]Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar:
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS 2016: 3810-3818 - 2015
- [c1]Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher Ré:
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. DanaC@SIGMOD 2015: 2:1-2:4 - [i1]Firas Abuzaid, Stefan Hadjis, Ce Zhang, Christopher Ré:
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. CoRR abs/1504.04343 (2015)
Coauthor Index
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