Bishwamittra Ghosh

According to our database, Bishwamittra Ghosh authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Don't Forget What I did?: Assessing Client Contributions in Federated Learning.

Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

CoRR, 2024

2023

Neighborhood-based Hypergraph Core Decomposition.

Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh

Proc. VLDB Endow., 2023

Interpretability and Fairness in Machine Learning: A Formal Methods Approach.

Bishwamittra Ghosh

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Social-Spatial Group Queries with Keywords.

Sajid Hasan Apon, Mohammed Eunus Ali, Bishwamittra Ghosh, Timos Sellis

ACM Trans. Spatial Algorithms Syst., 2022

Efficient Learning of Interpretable Classification Rules.

Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel

J. Artif. Intell. Res., 2022

How Biased is Your Feature?: Computing Fairness Influence Functions with Global Sensitivity Analysis.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

CoRR, 2022

Algorithmic Fairness Verification with Graphical Models.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Justicia: A Stochastic SAT Approach to Formally Verify Fairness.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis.

Daniel Neider, Bishwamittra Ghosh

CoRR, 2020

A Formal Language Approach to Explaining RNNs.

Bishwamittra Ghosh, Daniel Neider

CoRR, 2020

Classification Rules in Relaxed Logical Form.

Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A MaxSAT-Based Framework for Group Testing.

Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S. Meel

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules.

Bishwamittra Ghosh, Kuldeep S. Meel

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

The Flexible Socio Spatial Group Queries.

Bishwamittra Ghosh, Mohammed Eunus Ali, Farhana Murtaza Choudhury, Sajid Hasan Apon, Timos Sellis, Jianxin Li

Proc. VLDB Endow., 2018