Preetam Nandy - RankMe

18 papers A* 4A 2B 1C 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Detection and Mitigation of Algorithmic Bias via Predictive Parity. FAccT Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu
2023	B	`conf`	Generalized Causal Tree for Uplift Modeling. IEEE Big Data Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee
2022	—	`conf`	Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱. FAccT Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui
2022	C	`conf`	Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. AIES Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu
2022	J	`jnl`	Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. CoRR Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu
2022	A	`conf`	Offline Reinforcement Learning for Mobile Notifications. CIKM Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar
2022	J	`jnl`	Offline Reinforcement Learning for Mobile Notifications. CoRR Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar
2022	A*	`conf`	Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu
2022	J	`jnl`	Pushing the limits of fairness impossibility: Who's the fairest of them all? CoRR Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu
2021	A*	`conf`	A/B Testing for Recommender Systems in a Two-sided Marketplace. NeurIPS Preetam Nandy, Divya Venugopalan, Chun Lo, Shaunak Chatterjee
2021	J	`jnl`	A/B Testing for Recommender Systems in a Two-sided Marketplace. CoRR Preetam Nandy, Divya Venugopalan, Chun Lo, Shaunak Chatterjee
2021	A*	`conf`	Personalized Treatment Selection using Causal Heterogeneity. WWW Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee
2020	A*	`conf`	A/B Testing in Dense Large-Scale Networks: Design and Inference. NeurIPS Preetam Nandy, Kinjal Basu, Shaunak Chatterjee, Ye Tu
2020	J	`jnl`	Scalable Assessment and Mitigation Strategies for Fairness in Rankings. CoRR Preetam Nandy, Amir Sepehri, Kinjal Basu, Heloise Logan, Deepak Agarwal, Noureddine El Karoui
2017	A	`conf`	Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges. UAI Marco Eigenmann, Preetam Nandy, Marloes H. Maathuis
2016	—	`ch.`	A Review of Some Recent Advances in Causal Inference. Handbook of Big Data Marloes H. Maathuis, Preetam Nandy
2013	J	`jnl`	Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge. Bioinform. 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
2012	—	`conf`	Optimal variational perturbations for the inference of stochastic reaction dynamics. CDC Christoph Zechner, Preetam Nandy, Michael Unger, Heinz Koeppl