Preetam Nandy

According to our database, Preetam Nandy authored at least 14 papers between 2012 and 2023.

Collaborative distances:

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

2023

Detection and Mitigation of Algorithmic Bias via Predictive Parity.

Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu

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

Generalized Causal Tree for Uplift Modeling.

Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Pushing the limits of fairness impossibility: Who's the fairest of them all?

Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱.

Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Offline Reinforcement Learning for Mobile Notifications.

Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Long-term Dynamics of Fairness Intervention in Connection Recommender Systems.

Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Personalized Treatment Selection using Causal Heterogeneity.

Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee

Proceedings of the WWW '21: The Web Conference 2021, 2021

A/B Testing for Recommender Systems in a Two-sided Marketplace.

Preetam Nandy, Divya Venugopalan, Chun Lo, Shaunak Chatterjee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Scalable Assessment and Mitigation Strategies for Fairness in Rankings.

Preetam Nandy, Amir Sepehri, Kinjal Basu, Heloise Logan, Deepak Agarwal, Noureddine El Karoui

CoRR, 2020

A/B Testing in Dense Large-Scale Networks: Design and Inference.

Preetam Nandy, Kinjal Basu, Shaunak Chatterjee, Ye Tu

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

2017

Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges.

Marco Eigenmann, Preetam Nandy, Marloes H. Maathuis

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016

A Review of Some Recent Advances in Causal Inference.

Marloes H. Maathuis, Preetam Nandy

Proceedings of the Handbook of Big Data., 2016

2013

Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.

Adi L. Tarca, Mario Lauria, Michael Unger, Erhan Bilal, Stéphanie Boué, Kushal Kumar Dey, Julia Hoeng, Heinz Koeppl, Florian Martin, Pablo Meyer, Preetam Nandy, Raquel Norel, Manuel C. Peitsch, John Jeremy Rice, Roberto Romero, Gustavo Stolovitzky, Marja Talikka, Yang Xiang, Christoph Zechner, Improver Dsc Collaborators

Bioinform., 2013

2012

Optimal variational perturbations for the inference of stochastic reaction dynamics.

Christoph Zechner, Preetam Nandy, Michael Unger, Heinz Koeppl

Proceedings of the 51th IEEE Conference on Decision and Control, 2012