Demo Data from VLDB 2026 / reviewers in the wild / expert
Yamuna Krishnamurthy
dblp:77/3990
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Optimization for machine learning · 33% Reinforcement learning · 33% Probabilistic and Bayesian machine learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning › bandit › pure-exploration bandit
active search |
0.1 | 1 | 2012 | Bayesian Optimal Active Search and Surveying · ICML 2012 |
Machine learning › Probabilistic and Bayesian machine learning › experimental design
bayesian experimental design |
0.1 | 1 | 2012 | Bayesian Optimal Active Search and Surveying · ICML 2012 |
Machine learning › Optimization for machine learning › model-based optimization
bayesian optimization |
0.1 | 1 | 2012 | Bayesian Optimal Active Search and Surveying · ICML 2012 |
Methods — techniques the papers use, named apart from their topics
bayesian decision theory · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Bayesian Optimal Active Search and Surveying
Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff G. Schneider, Richard P. Mann |
ICML | 2 |
| 2004 | The Design and Implementation of Real-Time CORBA 2.0: Dynamic Scheduling in TAOabstractIn an emerging class of open distributed real-time and embedded (DRE) systems with stringent but dynamic QoS requirements, there is a need to propagate QoS parameters and enforce task QoS requirements across multiple endsystems in a way that is simultaneously efficient and adaptable. The object management group's (OMG) real-time CORBA 2.0 specification (RTC2) defines a dynamic scheduling framework for propagating and enforcing QoS parameters dynamically in standard CORBA middleware. We make two contributions to research on middleware for open DRE systems. First, it describes the design and capabilities of the RTC2 dynamic scheduling framework provided by TAO, which is our open-source CORBA standards-based object request broker (ORB). Second, it describes and summarize the results of empirical studies we have conducted to validate our RTC2 framework in the context of open DRE systems. The results of those experiments show that a range of policies for adaptive scheduling and management of distributable threads can be enforced efficiently in standard middleware for open DRE systems. Yamuna Krishnamurthy, Irfan Pyarali, Christopher D. Gill, Louis Mgeta, Yuanfang Zhang, Stephen Torri, Douglas C. Schmidt |
IEEE Real-Time and Embedded Technology and Applications Symposium | 1 |
| 2003 | Flexible and Adaptive QoS Control for Distributed Real-Time and Embedded Middleware
Richard E. Schantz, Joseph P. Loyall, Craig Rodrigues, Douglas C. Schmidt, Yamuna Krishnamurthy, Irfan Pyarali |
Middleware | 5 |