Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests.
Erica Cai, Andrew McGregor, David Jensen.
NeurIPS Causal Machine Learning for Real World Impact Workshop 2022 (accepted) [pdf] [poster]
Quantifying the Effect of Gender on Interruptions in Supreme Court Oral Arguments.
Katherine Keith, Erica Cai, Ankita Gupta, Brendan O’Connor, Douglas Rice.
Accepted as abstract at Text as Data 2022 and in progress. [poster]
MC3D: A Posterior Predictive Check for Learning Directed Graphical Models.
David Jensen, Erica Cai.
Submitted, 2022 and in progress.
Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials.
Laura B. Balzer, Erica Cai, Lucas Godoy Garraza, and Pracheta Amaranath.
Under submission, 2022. [pdf]
Measuring Interventional Robustness in Reinforcement Learning.
Katherine Avery*, Jack Kenney*, Pracheta Amaranath, Erica Cai, David Jensen.
Under submission, 2022. [pdf]