Hilmkil, Agrin

10 publications

TMLR 2025 Amortized Inference of Causal Models via Conditional Fixed-Point Iterations Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon

ICML 2024 A Fixed-Point Approach for Causal Generative Modeling Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma

TMLR 2024 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang

ICMLW 2024 ProxyTune: Hyperparameter Tuning Through Iteratively Refined Proxies Agrin Hilmkil, Wenbo Gong, Nick Pawlowski, Cheng Zhang

ICML 2024 Towards Causal Foundation Model: On Duality Between Optimal Balancing and Attention Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang, Chao Ma

NeurIPSW 2024 Zero-Shot Learning of Causal Models Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon

ICLR 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang

NeurIPSW 2022 A Causal AI Suite for Decision-Making Emre Kiciman, Eleanor Wiske Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang

NeurIPSW 2022 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang

NeurIPSW 2022 Deep End-to-End Causal Inference Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang