David Vengerov

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 7

Top Topics

Dynamic Adaptation

Top Venues

Proc. VLDB Endow.

USENIX Annual Technical Conference

ACM SIGOPS Oper. Syst. Rev.

Publications

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)
David Vengerov, Sesh Jalagam
A Machine Learning Approach to Recommending Files in a Collaborative Work Environment. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
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 Annual Technical Conference (2018)
David Vengerov
A Two-List Framework for Accurate Detection of Frequent Items in Data Streams. MLDM (1) (2018)
David Vengerov
Dynamic adaptation of user migration policies in distributed virtual environments. IJCNN (2017)
David Vengerov, Andre Cavalheiro Menck, Mohamed Zaït, Sunil Chakkappen
Join Size Estimation Subject to Filter Conditions. Proc. VLDB Endow. 8 (12) (2015)
Callum Cameron, Jeremy Singer, David Vengerov
The judgment of forseti: economic utility for dynamic heap sizing of multiple runtimes. ISMM (2015)
Kishore Kumar Pusukuri, David Vengerov, Alexandra Fedorova, Vana Kalogeraki
FACT: a framework for adaptive contention-aware thread migrations. Conf. Computing Frontiers (2011)
David Vengerov, Lykomidis Mastroleon, Declan Murphy, Nicholas Bambos
Adaptive data-aware utility-based scheduling in resource-constrained systems. J. Parallel Distributed Comput. 70 (9) (2010)
David Vengerov
A reinforcement learning framework for utility-based scheduling in resource-constrained systems. Future Gener. Comput. Syst. 25 (7) (2009)
David Vengerov
Modeling, analysis and throughput optimization of a generational garbage collector. ISMM (2009)
David Vengerov
A gradient-based reinforcement learning approach to dynamic pricing in partially-observable environments. Future Gener. Comput. Syst. 24 (7) (2008)
David Vengerov
A reinforcement learning framework for online data migration in hierarchical storage systems. J. Supercomput. 43 (1) (2008)
David Vengerov
A reinforcement learning approach to dynamic resource allocation. Eng. Appl. Artif. Intell. 20 (3) (2007)
Ilya Gluhovsky, David Vengerov, Brian O'Krafka
Comprehensive multivariate extrapolation modeling of multiprocessor cache miss rates. ACM Trans. Comput. Syst. 25 (1) (2007)
Ilya Gluhovsky, David Vengerov
Constrained Multivariate Extrapolation Models With Application to Computer Cache Rates. Technometrics 49 (2) (2007)
David Vengerov, Nikolai Iakovlev
A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results.. ICAC (2005)
David Vengerov
Adaptive Utility-Based Scheduling in Resource-Constrained Systems. Australian Conference on Artificial Intelligence (2005)
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) (2005)
Hamid R. Berenji, Yan Wang, David Vengerov, Reza Langari, Mo M. Jamshidi
Using gated experts in fault diagnosis and prognosis. FUZZ-IEEE (2004)
Hamid R. Berenji, David Vengerov, Jayesh Ametha
Co-evolutionary perception-based reinforcement learning for sensor allocation in autonomous vehicles. FUZZ-IEEE (2003)
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) (2003)
Hamid R. Berenji, Jayesh Ametha, David Vengerov
Inductive learning for fault diagnosis. FUZZ-IEEE (2003)
David Vengerov, Hamid R. Berenji
Using fuzzy reinforcement learning for power control in wireless transmitters. FUZZ-IEEE (2002)
David Vengerov, Hamid R. Berenji, Alex Vengerov
Adaptive coordination among fuzzy reinforcement learning agents performing distributed dynamic load balancing. FUZZ-IEEE (2002)
Hamid R. Berenji, David Vengerov
On Convergence of Fuzzy Reinforcement Learning. FUZZ-IEEE (2001)
Hamid R. Berenji, David Vengerov
Advantages of cooperation between reinforcement learning agents in difficult stochastic problems. FUZZ-IEEE (2000)