Supriyo Ghosh

Orcid: 0000-0001-7275-3296

According to our database1, Supriyo Ghosh authored at least 25 papers between 2013 and 2024.

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Bibliography

2024
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4.
CoRR, 2024

2023
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.
CoRR, 2023

Detection Is Better Than Cure: A Cloud Incidents Perspective.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Tusas: A fully implicit parallel approach for coupled phase-field equations.
J. Comput. Phys., 2022

An iterative security game for computing robust and adaptive network flows.
Comput. Oper. Res., 2022

Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

How to fight production incidents?: an empirical study on a large-scale cloud service.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services.
CoRR, 2021

A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Tusas: A fully implicit parallel approach for coupled nonlinear equations.
CoRR, 2020

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control.
CoRR, 2020

2019
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

Dispatch Guided Allocation Optimization for Effective Emergency Response.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems.
J. Artif. Intell. Res., 2017

Online Repositioning in Bike Sharing Systems.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Incentivizing the Use of Bike Trailers for Dynamic Repositioning in Bike Sharing Systems.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Strategic Planning for Setting Up Base Stations in Emergency Medical Systems.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015
Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems.
Proceedings of the Artificial Intelligence for Cities, 2015

2013
Exploiting MAS-Based Simulation to Improve the Indian Railways' Efficiency.
Proceedings of the Multiagent System Technologies - 11th German Conference, 2013


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