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Neeraj Kumar 0004
Person information
- affiliation: University of California, Santa Barbara, CA, USA
- affiliation: University of Waterloo, Canada
Other persons with the same name
- Neeraj Kumar — disambiguation page
- Neeraj Kumar 0001 (aka: Neeraj Kumar Nehra) — Thapar Institute of Engineering and Technology, Computer Science and Engineering Department, Patiala, India (and 1 more)
- Neeraj Kumar 0002 — Indian Institute of Technology Guwahati, Guwahati (Assam), India
- Neeraj Kumar 0003 — SnappyData Inc, Pune, India
- Neeraj Kumar 0005 — IIMT Engineering College, Meerut, India
- Neeraj Kumar 0006 — University of Washington, Seattle, WA, USA (and 2 more)
- Neeraj Kumar 0008 — NIT Kurukshetra, India
- Neeraj Kumar 0009 — Babasaheb Bhimrao Ambedkar University (BBAU), Lucknow, Uttar Pradesh, India
- Neeraj Kumar 0010 — Hike Private Limited, India
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2020 – today
- 2024
- [c10]Neeraj Kumar, Pol Mauri Ruiz, Vijay Menon, Igor Kabiljo, Mayank Pundir, Andrew Newell, Daniel Lee, Liyuan Wang, Chunqiang Tang:
Optimizing Resource Allocation in Hyperscale Datacenters: Scalability, Usability, and Experiences. OSDI 2024: 507-528 - 2023
- [i5]Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong:
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR abs/2306.17054 (2023) - 2022
- [j3]Neeraj Kumar, Stavros Sintos, Subhash Suri:
The maximum exposure problem. Comput. Geom. 104: 101861 (2022) - [c9]Neeraj Kumar, Daniel Lokshtanov, Saket Saurabh, Subhash Suri, Jie Xue:
Point Separation and Obstacle Removal by Finding and Hitting Odd Cycles. SoCG 2022: 52:1-52:14 - [i4]Neeraj Kumar, Daniel Lokshtanov, Saket Saurabh, Subhash Suri, Jie Xue:
Point Separation and Obstacle Removal by Finding and Hitting Odd Cycles. CoRR abs/2203.08193 (2022) - 2021
- [c8]Neeraj Kumar, Daniel Lokshtanov, Saket Saurabh, Subhash Suri:
A Constant Factor Approximation for Navigating Through Connected Obstacles in the Plane. SODA 2021: 822-839 - [i3]Neeraj Kumar, Stavros Sintos, Subhash Suri:
The Maximum Exposure Problem. CoRR abs/2102.03455 (2021) - 2020
- [b1]Neeraj Kumar:
Geometric Constraint Removal and Related Problems. University of California, Santa Barbara, USA, 2020 - [j2]John Hershberger, Neeraj Kumar, Subhash Suri:
Shortest Paths in the Plane with Obstacle Violations. Algorithmica 82(7): 1813-1832 (2020) - [j1]Sayan Bandyapadhyay, Neeraj Kumar, Subhash Suri, Kasturi R. Varadarajan:
Improved approximation bounds for the minimum constraint removal problem. Comput. Geom. 90: 101650 (2020) - [i2]Neeraj Kumar, Daniel Lokshtanov, Saket Saurabh, Subhash Suri:
A Constant Factor Approximation for Navigating Through Connected Obstacles in the Plane. CoRR abs/2011.14463 (2020)
2010 – 2019
- 2019
- [c7]Neeraj Kumar, Stavros Sintos, Subhash Suri:
The Maximum Exposure Problem. APPROX-RANDOM 2019: 19:1-19:20 - [c6]Neeraj Kumar:
Computing a Minimum Color Path in Edge-Colored Graphs. SEA² 2019: 35-50 - 2018
- [c5]Sayan Bandyapadhyay, Neeraj Kumar, Subhash Suri, Kasturi R. Varadarajan:
Improved Approximation Bounds for the Minimum Constraint Removal Problem. APPROX-RANDOM 2018: 2:1-2:19 - [c4]Pankaj K. Agarwal, Neeraj Kumar, Stavros Sintos, Subhash Suri:
Computing Shortest Paths in the Plane with Removable Obstacles. SWAT 2018: 5:1-5:15 - 2017
- [c3]John Hershberger, Neeraj Kumar, Subhash Suri:
Shortest Paths in the Plane with Obstacle Violations. ESA 2017: 49:1-49:14 - 2016
- [c2]Martin Fink, Neeraj Kumar, Subhash Suri:
Counting Convex k-gons in an Arrangement of Line Segments. CCCG 2016: 155-160 - 2015
- [i1]Therese Biedl, Sebastian Fischmeister, Neeraj Kumar:
DAG-width of Control Flow Graphs with Applications to Model Checking. CoRR abs/1503.00793 (2015) - 2014
- [c1]Mohammad Mehdi Zeinali Zadeh, Mahmoud Salem, Neeraj Kumar, Greta Cutulenco, Sebastian Fischmeister:
SiPTA: Signal processing for trace-based anomaly detection. EMSOFT 2014: 6:1-6:10
Coauthor Index
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last updated on 2024-10-30 20:32 CET by the dblp team
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