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2020 – today
- 2023
[c16]Chuanwei Ruan
, Allan Stewart, Han Li, Ryan Ye, David Vengerov, Haixun Wang:
Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart. WWW (Companion Volume) 2023: 983-987
2010 – 2019
- 2019
- [j11]David Vengerov, Sesh Jalagam:
A Machine Learning Approach to Recommending Files in a Collaborative Work Environment. ACM SIGOPS Oper. Syst. Rev. 53(1): 46-51 (2019) - 2018
- [c15]David Vengerov:
A Two-List Framework for Accurate Detection of Frequent Items in Data Streams. MLDM (1) 2018: 228-243 - [c14]Justin R. Funston, Maxime Lorrillere, Alexandra Fedorova, Baptiste Lepers, David Vengerov, Jean-Pierre Lozi, Vivien Quéma:
Placement of Virtual Containers on NUMA systems: A Practical and Comprehensive Model. USENIX ATC 2018: 281-294 - 2017
- [c13]David Vengerov:
Dynamic adaptation of user migration policies in distributed virtual environments. IJCNN 2017: 4028-4035 - 2015
- [j10]David Vengerov, Andre Cavalheiro Menck, Mohamed Zaït, Sunil Chakkappen:
Join Size Estimation Subject to Filter Conditions. Proc. VLDB Endow. 8(12): 1530-1541 (2015) - [c12]Callum Cameron, Jeremy Singer, David Vengerov:
The judgment of forseti: economic utility for dynamic heap sizing of multiple runtimes. ISMM 2015: 143-156 - 2011
- [c11]Kishore Kumar Pusukuri, David Vengerov, Alexandra Fedorova, Vana Kalogeraki:
FACT: a framework for adaptive contention-aware thread migrations. Conf. Computing Frontiers 2011: 35 - 2010
- [j9]David Vengerov, Lykomidis Mastroleon, Declan Murphy, Nicholas Bambos:
Adaptive data-aware utility-based scheduling in resource-constrained systems. J. Parallel Distributed Comput. 70(9): 871-879 (2010)
2000 – 2009
- 2009
- [j8]David Vengerov:
A reinforcement learning framework for utility-based scheduling in resource-constrained systems. Future Gener. Comput. Syst. 25(7): 728-736 (2009) - [c10]David Vengerov:
Modeling, analysis and throughput optimization of a generational garbage collector. ISMM 2009: 1-9 - 2008
- [j7]David Vengerov:
A gradient-based reinforcement learning approach to dynamic pricing in partially-observable environments. Future Gener. Comput. Syst. 24(7): 687-693 (2008) - [j6]David Vengerov:
A reinforcement learning framework for online data migration in hierarchical storage systems. J. Supercomput. 43(1): 1-19 (2008) - 2007
- [j5]David Vengerov:
A reinforcement learning approach to dynamic resource allocation. Eng. Appl. Artif. Intell. 20(3): 383-390 (2007) - [j4]Ilya Gluhovsky, David Vengerov:
Constrained Multivariate Extrapolation Models With Application to Computer Cache Rates. Technometrics 49(2): 129-137 (2007) - [j3]Ilya Gluhovsky, David Vengerov, Brian O'Krafka:
Comprehensive multivariate extrapolation modeling of multiprocessor cache miss rates. ACM Trans. Comput. Syst. 25(1): 2 (2007) - 2005
- [j2]David Vengerov, Nicholas Bambos, Hamid R. Berenji:
A fuzzy reinforcement learning approach to power control in wireless transmitters. IEEE Trans. Syst. Man Cybern. Part B 35(4): 768-778 (2005) - [c9]David Vengerov:
Adaptive Utility-Based Scheduling in Resource-Constrained Systems. Australian Conference on Artificial Intelligence 2005: 477-488 - [c8]David Vengerov, Nikolai Iakovlev:
A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results.. ICAC 2005: 339-340 - 2004
- [c7]Hamid R. Berenji, Yan Wang, David Vengerov, Reza Langari, Mo M. Jamshidi:
Using gated experts in fault diagnosis and prognosis. FUZZ-IEEE 2004: 463-467 - 2003
- [j1]Hamid R. Berenji, David Vengerov:
A convergent actor-critic-based FRL algorithm with application to power management of wireless transmitters. IEEE Trans. Fuzzy Syst. 11(4): 478-485 (2003) - [c6]Hamid R. Berenji, David Vengerov, Jayesh Ametha:
Co-evolutionary perception-based reinforcement learning for sensor allocation in autonomous vehicles. FUZZ-IEEE 2003: 125-130 - [c5]Hamid R. Berenji, Jayesh Ametha, David Vengerov:
Inductive learning for fault diagnosis. FUZZ-IEEE 2003: 726-731 - 2002
- [c4]David Vengerov, Hamid R. Berenji, Alex Vengerov:
Adaptive coordination among fuzzy reinforcement learning agents performing distributed dynamic load balancing. FUZZ-IEEE 2002: 179-184 - [c3]David Vengerov, Hamid R. Berenji:
Using fuzzy reinforcement learning for power control in wireless transmitters. FUZZ-IEEE 2002: 797-802 - 2001
- [c2]Hamid R. Berenji, David Vengerov:
On Convergence of Fuzzy Reinforcement Learning. FUZZ-IEEE 2001: 618-621 - 2000
- [c1]Hamid R. Berenji, David Vengerov:
Advantages of cooperation between reinforcement learning agents in difficult stochastic problems. FUZZ-IEEE 2000: 871-876
Coauthor Index
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