Author :(Microsoft) Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan
Paper Link: https://arxiv.org/abs/2304.05524

'AI & RL > Causal Inference' 카테고리의 다른 글

[북마크] Towards Causal Foundation Model: on Duality between Causal Inference and Attention (Jiaqi Zhang, Arxiv 2023)  (0) 2023.10.14
[북마크] Passive learning of active causal strategies in agents and language models (Andrew Kyle Lampinen, NeurIPS2023)  (0) 2023.10.02
[북마크] Causal Parrots: Large Language Models May Talk Causality But Are Not Causal (Matej Zečević, TMLR 2023)  (0) 2023.10.02
[북마크] Zero-shot causal learning (Hamed Nilforoshan, NeurIPS 2023)  (0) 2023.09.30
[북마크] Conformal Meta-learners for Predictive Inference of Individual Treatment Effects (Ahmed Alaa, NeurIPS 2023)  (0) 2023.09.25

Author : Matej Zečević, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
Paper Link: https://arxiv.org/abs/2301.12292

Code: https://github.com/moritzwillig/causalparrots

TMLR presentation: https://www.youtube.com/watch?v=vbwrhbuvedE 

'AI & RL > Causal Inference' 카테고리의 다른 글

[북마크] Passive learning of active causal strategies in agents and language models (Andrew Kyle Lampinen, NeurIPS2023)  (0) 2023.10.02
[북마크] (리뷰페이퍼) Understanding Causality with Large Language Models: Feasibility and Opportunities (Cheng Zhang, Arxiv 2023)  (0) 2023.10.02
[북마크] Zero-shot causal learning (Hamed Nilforoshan, NeurIPS 2023)  (0) 2023.09.30
[북마크] Conformal Meta-learners for Predictive Inference of Individual Treatment Effects (Ahmed Alaa, NeurIPS 2023)  (0) 2023.09.25
[요약] Causal Transformer for Estimating Counterfactual Outcomes (Valentyn Melnychuk, ICML 2022)  (0) 2022.10.20

Author : Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Šurina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
Paper Link: https://arxiv.org/abs/2301.12292

 

 

'AI & RL > Causal Inference' 카테고리의 다른 글

[북마크] (리뷰페이퍼) Understanding Causality with Large Language Models: Feasibility and Opportunities (Cheng Zhang, Arxiv 2023)  (0) 2023.10.02
[북마크] Causal Parrots: Large Language Models May Talk Causality But Are Not Causal (Matej Zečević, TMLR 2023)  (0) 2023.10.02
[북마크] Conformal Meta-learners for Predictive Inference of Individual Treatment Effects (Ahmed Alaa, NeurIPS 2023)  (0) 2023.09.25
[요약] Causal Transformer for Estimating Counterfactual Outcomes (Valentyn Melnychuk, ICML 2022)  (0) 2022.10.20
[요약] Shaking the foundations: delusions in sequence models for interaction and control (Pedro A. Ortega, ArXiv 2021)  (0) 2022.02.11

Author : Scott Gottlieb, Lauren Silvis
Paper Link: https://jamanetwork.com/journals/jama-health-forum/fullarticle/2809936

'MEDICAL & HEALTHCARE AI' 카테고리의 다른 글

[북마크] Towards Conversational Diagnostic AI (Google Research & DeepMind, arXiv 2024)  (0) 2024.01.14
[요약] Med-PaLM2: Towards Expert-Level Medical Question Answering with Large Language Models (Karan Singhal, Arxiv 2023)  (1) 2023.10.21
[북마크] A foundation model for generalizable disease detection from retinal images (Yukun Zhou, Nature 2023)  (0) 2023.09.14
[북마크] MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records (Scott L. Fleming, Arxiv 2023)  (0) 2023.09.07
[북마크] A visual–language foundation model for pathology image analysis using medical Twitter (Zhi Huang, Nature Medicine, 2023)  (0) 2023.08.18

Author : Ahmed Alaa, Zaid Ahmad, Mark van der Laan
Paper Link: https://arxiv.org/abs/2308.14895

Github: https://github.com/AlaaLab/conformal-metalearners

 

GitHub - AlaaLab/conformal-metalearners: Codebase for the paper "Conformal Meta-learners for Predictive Inference of Individual

Codebase for the paper "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects" - GitHub - AlaaLab/conformal-metalearners: Codebase for the paper "Conformal...

github.com

 

 

'AI & RL > Causal Inference' 카테고리의 다른 글

[북마크] Causal Parrots: Large Language Models May Talk Causality But Are Not Causal (Matej Zečević, TMLR 2023)  (0) 2023.10.02
[북마크] Zero-shot causal learning (Hamed Nilforoshan, NeurIPS 2023)  (0) 2023.09.30
[요약] Causal Transformer for Estimating Counterfactual Outcomes (Valentyn Melnychuk, ICML 2022)  (0) 2022.10.20
[요약] Shaking the foundations: delusions in sequence models for interaction and control (Pedro A. Ortega, ArXiv 2021)  (0) 2022.02.11
[정리] Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders (Ioana Bica, ICML 2020)  (0) 2022.02.07

+ Recent posts

티스토리툴바