00:04 Bounds on the Conditional and Average Treatment Effect with Unobserved Confounding Factors - Steve Yadlowsky 02:00 Beyond correlation: Using a causal inference approach to measure the impact of a customer’s attribute on product retention - Marie Charpignon 04:21 Multi-Cause Inference with Sequential Treatments - Maja Rudolph 06:30 Counterfactual Risk Assessments, Evaluation, and Fairness - Amanda Coston 08:13 Unbiased Pairwise Learning from Implicit Feedback - Yuta Saito 10:02 Optimizing Targeting Policies via Sequential Experimentation for User Retention - Paramveer Dhillon 11:38 Measurement Dependence Inducing Latent Causal Models - Alexander Markham