Topics: (list of papers will be published towards the beginning of the semester)
• Out-of-distribution (OoD) generalization
• Distribution shift and drift
• Semi-supervised domain adaptation
• Covariate shift and debiasing
• Inverse propensity weighing (IPW)
• Invariant representation and risk minimization (IRM)
• Causality vs. (spurious) correlation
• Decision-dependent distribution shift
• Adversarial learning and robustness
• Strategic classification
• Performative prediction
• Distributional robustness