Distributed and Streaming Linear Programming in Low Dimensions
Summary: Derives nearly tight upper and lower bounds for LP and LP-type problems in streaming and distributed big-data models when the number of constraints far exceeds a constant-dimensional variable space. Focuses on efficient algorithms and matching hardness for low-dimensional ML tasks (robust regression, SVMs, core vector machines) to enable scalable LP-type query processing on massive datasets. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sepehr Assadi (Princeton University)
- 2. Nikolai Karpov (Indiana University)
- 3. Qin Zhang (Indiana University)
BibTeX Citation
@inproceedings{assadi_pods19,
address = {New York, NY, USA},
series = {{PODS} '19},
title = {{Distributed and Streaming Linear Programming in Low Dimensions}},
url = {https://dl.acm.org/doi/10.1145/3294052.3319697},
doi = {10.1145/3294052.3319697},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Assadi, Sepehr and Karpov, Nikolai and Zhang, Qin},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,145 | Parallel Communication Obliviousness: One Round and Beyond | 2024 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 490 | Design and Implementation of the LogicBlox System | 2015 | SIGMOD | 0.000175757 |
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