CDPD

Keyphrases

Publications

2023

Ruoxuan Xiong, Alex Chin, Sean Taylor
Bias-Variance Tradeoffs for Designing Simultaneous Temporal Experiments. CDPD (2023)
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CDPD (2023)
Oliver Schacht, Sven Klaassen, Philipp Schwarz, Martin Spindler, Daniel Grünbaum, Sebastian Imhof
Causally Learning an Optimal Rework Policy. CDPD (2023)
Inyoung Jun, Scott A. Cohen, Sarah E. Ser, Simone Marini, Robert J. Lucero, Jiang Bian, Mattia Prosperi
Optimizing Dynamic Antibiotic Treatment Strategies against Invasive Methicillin-Resistant Staphylococcus Aureus Infections using Causal Survival Forests and G-Formula on Statewide Electronic Health Record Data. CDPD (2023)
Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu
Stable Prediction on Graphs with Agnostic Distribution Shifts. CDPD (2023)
Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD (2023)
Lorenzo Masoero, Doug Hains, James McQueen
Leveraging covariate adjustments at scale in online A/B testing. CDPD (2023)

volume 218, 2023

The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA CDPD 218 (2023)