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Preetam Nandy · SciRah

Researcher profile · Semantic Scholar

Preetam Nandy

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Preetam Nandy — researcher profile on SciRah

h-index: 14
Works: 27
Citations: 760

Most-cited papers

High-dimensional consistency in score-based and hybrid structure learning
Preetam Nandy, A. Hauser, M. Maathuis
2015Annals of Statistics157 citations Open access
Semantic Scholar
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge
A. Tarca, M. Lauria, Michael Unger, Erhan Bilal +16 more
2013Bioinform.115 citations Open access
Semantic Scholar
Estimating the effect of joint interventions from observational data in sparse high-dimensional settings
Preetam Nandy, M. Maathuis, Thomas S. Richardson
201491 citations Open access
Semantic Scholar
Robust causal structure learning with some hidden variables
Benjamin Frot, Preetam Nandy, M. Maathuis
2017Journal of The Royal Statistical Society Series B-statistical Methodology54 citations Open access
Semantic Scholar
A Review of Some Recent Advances in Causal Inference
M. Maathuis, Preetam Nandy
2015Handbook of Big Data38 citations
Semantic Scholar
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱
Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan +2 more
2020Conference on Fairness, Accountability and Transparency36 citations Open access
Semantic Scholar
Large-Sample Theory for the Bergsma-Dassios Sign Covariance
Preetam Nandy, Luca Weihs, M. Drton
201636 citations Open access
Semantic Scholar
A/B Testing for Recommender Systems in a Two-sided Marketplace
Preetam Nandy, Divya Venugopalan, Chun Lo, S. Chatterjee
2021Neural Information Processing Systems27 citations
Semantic Scholar
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems
Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu
2022AAAI/ACM Conference on AI, Ethics, and Society25 citations Open access
Semantic Scholar
Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models
Abhishek Chakrabortty, Preetam Nandy, Hong-Zhe Li
201821 citations
Semantic Scholar
Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges
Marco Eigenmann, Preetam Nandy, M. Maathuis
2017Conference on Uncertainty in Artificial Intelligence20 citations
Semantic Scholar
A/B Testing in Dense Large-Scale Networks: Design and Inference
Preetam Nandy, Kinjal Basu, S. Chatterjee, Ye Tu
2019Neural Information Processing Systems19 citations
Semantic Scholar
Offline Reinforcement Learning for Mobile Notifications
Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng +1 more
2022International Conference on Information and Knowledge Management17 citations Open access
Semantic Scholar
Pushing the limits of fairness impossibility: Who's the fairest of them all?
Brian Hsu, R. Mazumder, Preetam Nandy, Kinjal Basu
2022Neural Information Processing Systems17 citations Open access
Semantic Scholar
Personalized Treatment Selection using Causal Heterogeneity
Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal +3 more
2021The Web Conference13 citations Open access
Semantic Scholar
Optimal variational perturbations for the inference of stochastic reaction dynamics
C. Zechner, Preetam Nandy, Michael Unger, H. Koeppl
2012IEEE Conference on Decision and Control12 citations
Semantic Scholar
Optimal Convergence for Stochastic Optimization with Multiple Expectation Constraints
Kinjal Basu, Preetam Nandy
201911 citations
Semantic Scholar
Generalized Causal Tree for Uplift Modeling
Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu +2 more
2022BigData Congress [Services Society]10 citations Open access
Semantic Scholar
Detection and Mitigation of Algorithmic Bias via Predictive Parity
Cyrus DiCiccio, Brian Hsu, Yinyin Yu, Preetam Nandy +1 more
2022Conference on Fairness, Accountability and Transparency9 citations Open access
Semantic Scholar
Understanding consistency in hybrid causal structure learning
Preetam Nandy, A. Hauser, M. Maathuis
20158 citations
Semantic Scholar
Optimal Perturbations for the Identification of Stochastic Reaction Dynamics
Preetam Nandy, Michael Unger, C. Zechner, H. Koeppl
20128 citations
Semantic Scholar
Learning Directed Acyclic Graphs with Hidden Variables via Latent Gaussian Graphical Model Selection
Benjamin Frot, Preetam Nandy, M. Maathuis
20176 citations
Semantic Scholar
Learning diagnostic signatures from microarray data using L1-regularized logistic regression
Preetam Nandy, Michael Unger, C. Zechner, K. Dey +1 more
20136 citations Open access
Semantic Scholar
Scalable Assessment and Mitigation Strategies for Fairness in Rankings
Preetam Nandy, A. Sepehri, Kinjal Basu, Heloise Logan +2 more
2020arXiv.org1 citations
Semantic Scholar
Detection and Mitigation of Algorithmic Bias via Predictive Rate Parity
Cyrus DiCiccio, Brian Hsu, Yinyin Yu, Preetam Nandy +1 more
20220 citations
Semantic Scholar
Submitted to the Annals of Statistics HIGH-DIMENSIONAL CONSISTENCY IN SCORE-BASED AND HYBRID STRUCTURE LEARNING By
Preetam Nandy, A. Hauser, M. Maathuis
20170 citations
Semantic Scholar
Causal learning from high-dimensional observational data
Preetam Nandy
20160 citations
Semantic Scholar

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