PCIC2022第四届泛太平洋因果推断大会总结
导语
为了更多地推动因果推断学科的发展,聚集国内外因果推断的一线科研工作者,共同讨论因果科学的最新进展,北京大学讲席教授、北京大学公共卫生学院生物统计系主任、北京大学北京国际数学研究中心生物统计和信息研究室主任周晓华等发起了泛太平洋因果推断大会,会议于2021年9月17日至18日举行。泛太平洋因果推断大会是因果推断领域国际上最领先的会议之一。本次会议共邀请了37位嘉宾作报告,探讨因果推断领域的新进展。会议不仅设有专家学者报告,还发布了因果推理竞赛赛题(PCIC 2022华为因果推理挑战赛)。累计超过1000人次注册会议,超过3万人次观看会议直播。
专题一(Linbo Wang,Chair)
专题一(Linbo Wang,Chair)
Estimating the Optimal Dynamic Treatment Regime with Restrictions using Observational Data
Fighting Noise with Noise: Causal Inference with Many Candidate Instruments
Outcome-adaptive LASSO for confounder selection with time-varying treatments
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
The synthetic instrument
专题二(Jinzhu Jia,Chair)
专题二(Jinzhu Jia,Chair)
No Star Is Good News: A Unified Look at Rerandomization Based on P-Values from Covariate Balance Tests
Design-based theory for cluster rerandomization
Identification of Linear Latent Hierarchical Structure
Paradoxes and resolutions for semiparametric data fusion with individual data and summary statistics
专题三(Theis Lange,Chair)
专题三(Theis Lange,Chair)
Continuous-time TMLE for multivariate causal parameters in time-to-event settings
Drop-in of concomitant medication
A Cross-Validated Targeted Maximum Likelihood Estimator for Data-Adaptive Experiment Selection Applied to the Augmentation of RCT Control Arms with Observational Data
Generalisability and transportability in the context of target trial emulations
专题四(Lu Wang,Chair)
专题四(Lu Wang,Chair)
Controlling weak instrument bias in multivariable Mendelian randomization using empirical shrinkage
A Bayesian Reinforcement Learning Framework for Optimizing Sequential Combination Antiretroviral Therapy in People with HIV
Constructing stabilized dynamic surveillance rules for optimal monitoring schedules
专题五(Robin Evans,Chair)
专题五(Robin Evans,Chair)
On structural imsets for describing and learning graphical models
Towards standard imsets for maximal ancestral graphs
Using imsets to score causal models with latent confounding
Imsets and supermodular functions
专题六(Xiao-Hua Zhou,Chair)
专题六(Xiao-Hua Zhou,Chair)
Total causal effects in MPDAGs: identification and minimal enumeration
A simple asymptotic non-conservative test for indirect effect
Testing an Elaborate Theory of a Causal Hypothesis
专题七(Wang Miao,Chair)
专题七(Wang Miao,Chair)
On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification and Estimation for Causal Inference
DNN-Based Causal Inference and New Stable Empirical Higher Order Influence Functions
Causal mediation analysis with Mendelian Randomization
Safe Policy Learning through Extrapolation
Evaluating Causes of Effects by Posterior Effects of Causes
Retrospective causal inference with multiple effect variables
专题八(Kun Kuang,Chair)
专题八(Kun Kuang,Chair)
Learning Causal Representations for Generalization in Reinforcement Learning
Causal Inference with Instrumental Variables
专题九(Kun Zhang,Chair)
专题九(Kun Zhang,Chair)
Causal Inference of Truncation-by-Death with Unmeasured Confounding
Causality-inspired ML: what can causality do for ML?
Efficient learning using privileged information with known causal structure
Advances in causal representation learning
专题十(Thomas Richardson,Chair)
专题十(Thomas Richardson,Chair)
On prediction, action and interference in algorithmic fairness
Problems due to Selection and an Overcommitment to Ignorability in Causal Fairness
A causal and counterfactual view of (un)fairness in automated decision making
Causal determinants of postoperative length of stay in cardiac surgery using causal graphical learning
专题十一(Peng Cui,Chair)
专题十一(Peng Cui,Chair)