Divyat Mahajan

29 papers A* 6A 2C 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Amortized Inference of Causal Models via Conditional Fixed-Point Iterations. Trans. Mach. Learn. Res. Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon
2025	J	`jnl`	Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries. CoRR Divyat Mahajan, Sachin Goyal, Badr Youbi Idrissi, Mohammad Pezeshki, Ioannis Mitliagkas, David Lopez-Paz, Kartik Ahuja
2025	A*	`conf`	Compositional Risk Minimization. ICML Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent
2025	J	`jnl`	Iterative Amortized Inference: Unifying In-Context Learning and Learned Optimizers. CoRR Sarthak Mittal, Divyat Mahajan, Guillaume Lajoie, Mohammad Pezeshki
2025	J	`jnl`	Learning to Defer for Causal Discovery with Imperfect Experts. CoRR Oscar Clivio, Divyat Mahajan, Perouz Taslakian, Sara Magliacane, Ioannis Mitliagkas, Valentina Zantedeschi, Alexandre Drouin
2025	J	`jnl`	Path-specific effects for pulse-oximetry guided decisions in critical care. CoRR Kevin Zhang, Yonghan Jung, Divyat Mahajan, Karthikeyan Shanmugam, Shalmali Joshi
2024	J	`jnl`	Compositional Risk Minimization. CoRR Divyat Mahajan, Mohammad Pezeshki, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent
2024	A*	`conf`	Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation. ICLR Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis
2024	J	`jnl`	Evaluating Interventional Reasoning Capabilities of Large Language Models. CoRR Tejas Kasetty, Divyat Mahajan, Gintare Karolina Dziugaite, Alexandre Drouin, Dhanya Sridhar
2024	J	`jnl`	Zero-Shot Learning of Causal Models. CoRR Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon
2023	A*	`conf`	Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation. NeurIPS Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien
2023	J	`jnl`	Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation. CoRR Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien
2023	A*	`conf`	Interventional Causal Representation Learning. ICML Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio
2023	A*	`conf`	Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning. ICML Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand
2022	J	`jnl`	Empirical Analysis of Model Selection for Heterogenous Causal Effect Estimation. CoRR Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis
2022	J	`jnl`	Interventional Causal Representation Learning. CoRR Kartik Ahuja, Yixin Wang, Divyat Mahajan, Yoshua Bengio
2022	J	`jnl`	Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective. CoRR Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand
2022	—	`conf`	Towards efficient representation identification in supervised learning. CLeaR Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas
2022	J	`jnl`	Towards efficient representation identification in supervised learning. CoRR Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas
2021	A*	`conf`	Domain Generalization using Causal Matching. ICML Divyat Mahajan, Shruti Tople, Amit Sharma
2021	A	`conf`	Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
2021	J	`jnl`	The Connection between Out-of-Distribution Generalization and Privacy of ML Models. CoRR Divyat Mahajan, Shruti Tople, Amit Sharma
2021	C	`conf`	Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. AIES Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
2020	A	`conf`	A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
2020	J	`jnl`	Domain Generalization using Causal Matching. CoRR Divyat Mahajan, Shruti Tople, Amit Sharma
2020	J	`jnl`	Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
2020	J	`jnl`	Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. CoRR Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
2019	J	`jnl`	A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
2019	J	`jnl`	Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers. CoRR Divyat Mahajan, Chenhao Tan, Amit Sharma