| Adapting Neural Networks for the Estimation of Treatment Effects | Claudia Shi · David Blei · Victor Veitch |
| Causal Regularization | Dominik Janzing |
| Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions | Murat Kocaoglu · Amin Jaber · Karthikeyan Shanmugam · Elias Bareinboim |
| Debiased Bayesian inference for average treatment effects | Kolyan Ray · Botond Szabo |
| Deep Generalized Method of Moments for Instrumental Variable Analysis | Andrew Bennett · Nathan Kallus · Tobias Schnabel |
| Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets | Daniel Kumor · Bryant Chen · Elias Bareinboim |
| Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments | Vasilis Syrgkanis · Victor Lei · Miruna Oprescu · Maggie Hei · Keith Battocchi · Greg Lewis |
| Identification of Conditional Causal Effects under Markov Equivalence | Amin Jaber · Jiji Zhang · Elias Bareinboim |
| Variance Reduction in Bipartite Experiments through Correlation Clustering | Jean Pouget-Abadie · Kevin Aydin · Warren Schudy · Kay Brodersen · Vahab Mirrokni |
| Identifying Causal Effects via Context-specific Independence Relations | Santtu Tikka · Antti Hyttinen · Juha Karvanen |
| Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems | Robert Ness · Kaushal Paneri · Olga Vitek |
| Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes | Junzhe Zhang · Elias Bareinboim |
| Policy Evaluation with Latent Confounders via Optimal Balance | Andrew Bennett · Nathan Kallus |
| Sample Efficient Active Learning of Causal Trees | Kristjan Greenewald · Dmitriy Katz · Karthikeyan Shanmugam · Sara Magliacane · Murat Kocaoglu · Enric Boix Adsera · Guy Bresler |
| Selecting causal brain features with a single conditional independence test per feature | Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing |
| Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering | Biwei Huang · Kun Zhang · Pengtao Xie · Mingming Gong · Eric Xing · Clark Glymour |
| The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data | Amanda Gentzel · Dan Garant · David Jensen |
| Triad Constraints for Learning Causal Structure of Latent Variables | Ruichu Cai · Feng Xie · Clark Glymour · Zhifeng Hao · Kun Zhang |
| Using Embeddings to Correct for Unobserved Confounding in Networks | Victor Veitch · Yixin Wang · David Blei |