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Publications by Hassanpour, Negar

In Conference (refereed)

1. N. Hassanpour, R. Greiner. "Learning Disentangled Representations for CounterFactual Regression". International Conference on Learning Representations, April 2020. PDFview
2. N. Hassanpour, R. Greiner. "Counterfactual Regression with Importance Sampling Weights". International Joint Conference on Artificial Intelligence (IJCAI), pp 5880-5887, August 2019. PDFview
3. N. Hassanpour. "Counterfactual Reasoning in Observational Studies". National Conference on Artificial Intelligence (AAAI), February 2019. PDFview
4. N. Hassanpour, R. Greiner. "A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits". Canadian Conference on Artificial Intelligence, (ed: Ebrahim Bagheri, Jackie Chi Kit Cheung), pp 31-44, May 2018. PDFview

In Workshop

5. N. Hassanpour, R. Greiner. "Learning Disentangled Representations for CounterFactual Regression". NeurIPS Workshop on Causal ML, December 2019. PDFview
6. Z. Zhang, Q. Lan, L. Ding, Y. Wang, N. Hassanpour, R. Greiner. "Reducing Selection Bias in Counterfactual Reasoning". NeurIPS Workshop on Causal ML, December 2019. PDFview
7. N. Hassanpour, R. Greiner. "CounterFactual Regression with Importance Sampling Weights". ICML 2018 CausalML: Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, pp n/a, July 2018. PDFview
8. N. Hassanpour, R. Greiner. "A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits [wkshp]". NIPS 2017 Workshop on Causal Inference and Machine Learning (WhatIF2017), November 2017. PDFview
9. J. Wen, N. Hassanpour, R. Greiner. "Weighted Gaussian Process for Estimating Treatment Effect". December 2016. PDFview
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