Kaustav Das

According to our database, Kaustav Das authored at least 8 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Need for Vision: A data-centric approach towards analysing impact of COVID-19.

Kaustav Das

Proceedings of the Working Notes of FIRE 2022, 2022

2021

Are robots perceived as good decision makers? A study investigating trust and preference of robotic and human linesman-referees in football.

Kaustav Das, Yixiao Wang, Keith E. Green

Paladyn J. Behav. Robotics, 2021

2020

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point.

Bita Darvish Rouhani, Daniel Lo, Ritchie Zhao, Ming Liu, Jeremy Fowers, Kalin Ovtcharov, Anna Vinogradsky, Sarah Massengill, Lita Yang, Ray Bittner, Alessandro Forin, Haishan Zhu, Taesik Na, Prerak Patel, Shuai Che, Lok Chand Koppaka, Xia Song, Subhojit Som, Kaustav Das, Saurabh Tiwary, Steven K. Reinhardt, Sitaram Lanka, Eric S. Chung, Doug Burger

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

Bilateral trading and incomplete information: Price convergence in a small market.

Kalyan Chatterjee, Kaustav Das

Games Econ. Behav., 2017

2015

Decentralised bilateral trading, competition for bargaining partners and the "law of one price".

Kalyan Chatterjee, Kaustav Das

Int. J. Game Theory, 2015

2008

Anomaly pattern detection in categorical datasets.

Kaustav Das, Jeff G. Schneider, Daniel B. Neill

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Detecting anomalous records in categorical datasets.

Kaustav Das, Jeff G. Schneider

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2004

Belief state approaches to signaling alarms in surveillance systems.

Kaustav Das, Andrew W. Moore, Jeff G. Schneider

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004