Mahajan, Divyat

16 publications

TMLR 2025 Amortized Inference of Causal Models via Conditional Fixed-Point Iterations Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon
ICML 2025 Compositional Risk Minimization Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent
ICLRW 2025 Learning to Defer for Causal Discovery with Imperfect Experts Oscar Clivio, Divyat Mahajan, Perouz Taslakian, Sara Magliacane, Ioannis Mitliagkas, Valentina Zantedeschi, Alexandre Drouin
NeurIPS 2025 Path-Specific Effects for Pulse-Oximetry Guided Decisions in Critical Care Kevin Zhang, Yonghan Jung, Divyat Mahajan, Karthikeyan Shanmugam, Shalmali Joshi
NeurIPSW 2024 Compositional Risk Minimization Divyat Mahajan, Mohammad Pezeshki, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent
ICLR 2024 Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis
NeurIPSW 2024 Evaluating Interventional Reasoning Capabilities of Large Language Models Tejas Kasetty, Divyat Mahajan, Gintare Karolina Dziugaite, Alexandre Drouin, Dhanya Sridhar
NeurIPSW 2024 Zero-Shot Learning of Causal Models Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon
NeurIPS 2023 Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien
ICML 2023 Interventional Causal Representation Learning Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio
ICML 2023 Synergies Between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sebastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand
NeurIPSW 2022 Interventional Causal Representation Learning Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio
NeurIPSW 2022 Interventional Causal Representation Learning Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio
CLeaR 2022 Towards Efficient Representation Identification in Supervised Learning Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas
ICML 2021 Domain Generalization Using Causal Matching Divyat Mahajan, Shruti Tople, Amit Sharma
WACV 2020 A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai