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Correcting for Selection Bias in Learning-to-rank Systems (WWW 2020) WWW

Published in WWW, 2020

Recommended citation: Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva. Proceedings of The World Wide Web Conference (2020) https://ragib06.github.io/files/heckman_rank.pdf

Effectiveness of Sampling Strategies for One-shot Active Learning from Relational Data (MLG 2020) MLG@KDD

Published in MLG@KDD, 2020

Recommended citation: Ragib Ahsan, Elena Zheleva. Proceedings of the 16th International Workshop on Mining and Learning with Graphs (2020) https://ragib06.github.io/files/ahsan_mlg20.pdf

Relational Causal Models with Cycles: Representation and Reasoning (CLeaR 2022) CLeaR

Published in CLeaR, 2022

Recommended citation: Ragib Ahsan, David Arbour, Elena Zheleva. Proceedings of the 1st International Conference on Causal Learning and Reasoning (2022) https://openreview.net/pdf?id=-Qr0uIfNbUN

Non-Parametric Inference of Relational Dependence (UAI 2022) UAI

Published in UAI, 2022

Recommended citation: Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (2022) https://openreview.net/pdf?id=rxZffdLs9eq

Learning Relational Causal Models with Cycles through Relational Acyclification (AAAI 2023) AAAI

Published in AAAI, 2023

Recommended citation: Ragib Ahsan, David Arbour, Elena Zheleva. Proceedings of the 37th International Conference on Artificial Intelligence (2023) https://ojs.aaai.org/index.php/AAAI/article/view/26434/26206