Latest

• Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
• Learning Weighted Representations for Generalization Across Designs
• Causal Effect Inference with Deep Latent-Variable Models
• Estimating individual treatment effect: generalization bounds and algorithms
• Structured Inference Networks for Nonlinear State Space Models
• Learning Representations for Counterfactual Inference
• Deep Kalman Filters