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2020 – today
- 2025
[i15]Oscar Clivio, Divyat Mahajan, Perouz Taslakian, Sara Magliacane, Ioannis Mitliagkas, Valentina Zantedeschi, Alexandre Drouin:
Learning to Defer for Causal Discovery with Imperfect Experts. CoRR abs/2502.13132 (2025)- 2024
- [c9]Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis:
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation. ICLR 2024 - [i14]Tejas Kasetty, Divyat Mahajan, Gintare Karolina Dziugaite, Alexandre Drouin, Dhanya Sridhar:
Evaluating Interventional Reasoning Capabilities of Large Language Models. CoRR abs/2404.05545 (2024) - [i13]Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon:
Zero-Shot Learning of Causal Models. CoRR abs/2410.06128 (2024) - [i12]Divyat Mahajan, Mohammad Pezeshki, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent:
Compositional Risk Minimization. CoRR abs/2410.06303 (2024) - 2023
- [c8]Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio:
Interventional Causal Representation Learning. ICML 2023: 372-407 - [c7]Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand:
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning. ICML 2023: 18171-18206 - [c6]Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien:
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation. NeurIPS 2023 - [i11]Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien:
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation. CoRR abs/2307.02598 (2023) - 2022
- [c5]Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas:
Towards efficient representation identification in supervised learning. CLeaR 2022: 19-43 - [i10]Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas:
Towards efficient representation identification in supervised learning. CoRR abs/2204.04606 (2022) - [i9]Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio:
Interventional Causal Representation Learning. CoRR abs/2209.11924 (2022) - [i8]Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis:
Empirical Analysis of Model Selection for Heterogenous Causal Effect Estimation. CoRR abs/2211.01939 (2022) - [i7]Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand:
Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective. CoRR abs/2211.14666 (2022) - 2021
- [c4]Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma:
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. AIES 2021: 652-663 - [c3]Divyat Mahajan, Shruti Tople, Amit Sharma:
Domain Generalization using Causal Matching. ICML 2021: 7313-7324 - [c2]Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman:
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM 2021: 409-417 - [i6]Divyat Mahajan, Shruti Tople, Amit Sharma:
The Connection between Out-of-Distribution Generalization and Privacy of ML Models. CoRR abs/2110.03369 (2021) - 2020
- [c1]Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai:
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV 2020: 3090-3099 - [i5]Divyat Mahajan, Shruti Tople, Amit Sharma:
Domain Generalization using Causal Matching. CoRR abs/2006.07500 (2020) - [i4]Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma:
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. CoRR abs/2011.04917 (2020) - [i3]Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman:
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR abs/2011.05877 (2020)
2010 – 2019
- 2019
- [i2]Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai:
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR abs/1906.03038 (2019) - [i1]Divyat Mahajan, Chenhao Tan, Amit Sharma:
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers. CoRR abs/1912.03277 (2019)
Coauthor Index
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