Balakrishnan Narayanaswamy

Orcid: 0000-0002-9744-3371

According to our database1, Balakrishnan Narayanaswamy authored at least 46 papers between 2004 and 2024.

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Bibliography

2024
Stage: Query Execution Time Prediction in Amazon Redshift.
CoRR, 2024

Panda: Performance Debugging for Databases using LLM Agents.
Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023
Online Heavy-tailed Change-point detection.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Online robust non-stationary estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Zero-Shot Learning for Joint Intent and Slot Labeling.
CoRR, 2022

Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning.
CoRR, 2022

FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers.
Proceedings of the International Conference on Machine Learning, 2022

2021
Malware detection and classification using community detection and social network analysis.
J. Comput. Virol. Hacking Tech., 2021

FirePlace: Placing Firecraker Virtual Machines with Hindsight Imitation.
Proceedings of Machine Learning and Systems 2021, 2021

2020
Recursive Template-based Frame Generation for Task Oriented Dialog.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Influence Maximization From Cascade Information Traces in Complex Networks in the Absence of Network Structure.
IEEE Trans. Comput. Soc. Syst., 2019

ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems.
CoRR, 2019

Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Imitation-Regularized Offline Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Achieving Fluency and Coherency in Task-oriented Dialog.
CoRR, 2018

What we need to learn if we want to do and not just talk.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2015
Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

Supervised learning based model for predicting variability-induced timing errors.
Proceedings of the IEEE 13th International New Circuits and Systems Conference, 2015

Truthful Interval Cover Mechanisms for Crowdsourcing Applications.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
F1-Optimal Thresholding in the Multi-Label Setting.
CoRR, 2014

Learning to Re-rank for Interactive Problem Resolution and Query Refinement.
Proceedings of the SIGDIAL 2014 Conference, 2014

BuildingSherlock: fault management framework for HVAC systems: demo abstract.
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014

Data driven investigation of faults in HVAC systems with model, cluster and compare (MCC).
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014

Optimal Thresholding of Classifiers to Maximize F1 Measure.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Estimating the wake losses in large wind farms: A machine learning approach.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Unsupervised Focus Group Identification from Online Product Reviews.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Loss localisation in smart distribution networks.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

Productive output in hierarchical crowdsourcing.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Incentives for Information Sharing and Outcome Efforts in Networks
CoRR, 2013

Optimal utilization of power transformers through virtual sensing.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Congestion control of smart distribution grids using state estimation.
Proceedings of the Fifth International Conference on Communication Systems and Networks, 2013

Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Prediction based storage management in the smart grid.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Hedging strategies for renewable resource integration and uncertainty management in the smart grid.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

Learning to be energy-wise: discriminative methods for load disaggregation.
Proceedings of the 3rd International Conference on Energy-Efficient Computing and Networking, 2012

Online optimization for the smart (micro) grid.
Proceedings of the 3rd International Conference on Energy-Efficient Computing and Networking, 2012

2011
Iterative Cross-Entropy Encoding for Memory Systems with Stuck-At Errors.
Proceedings of the Global Communications Conference, 2011

2010
Robust lossy detection using sparse measurements: The regular case.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Robust detection of random variables using sparse measurements.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
An analysis of the computational complexity of sequential decoding of specific tree codes over Gaussian channels.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

2007
The sequential decoding metric for detection in sensor networks.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2005
Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
A novel method for two-speaker segmentation.
Proceedings of the INTERSPEECH 2004, 2004


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