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Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective


Nov 26, 2022
Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand

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* 36 pages 

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Empirical Analysis of Model Selection for Heterogenous Causal Effect Estimation


Nov 03, 2022
Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis

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* Preprint. Under Review 

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Interventional Causal Representation Learning


Oct 09, 2022
Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio

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Towards efficient representation identification in supervised learning


Apr 10, 2022
Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas

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* Proceedings of the First Conference on Causal Learning and Reasoning 

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The Connection between Out-of-Distribution Generalization and Privacy of ML Models


Oct 07, 2021
Divyat Mahajan, Shruti Tople, Amit Sharma

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* Prior version accepted at Workshop on Privacy Preserving Machine Learning, NeurIPS 2020. Code: https://github.com/microsoft/robustdg 

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Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions


Nov 11, 2020
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman

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* To be published in WSDM 

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Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End


Nov 10, 2020
Ramaravind K. Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma

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* 14 pages, 9 figures 

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Domain Generalization using Causal Matching


Jun 12, 2020
Divyat Mahajan, Shruti Tople, Amit Sharma

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* Preprint. Under review 

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Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers


Dec 06, 2019
Divyat Mahajan, Chenhao Tan, Amit Sharma

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* 2019 NeurIPS Workshop on Do the right thing: Machine learning and Causal Inference for improved decision making 

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