Nathan Kallus

Latest

• Stochastic Optimization Forests
• Fast Rates for Contextual Linear Optimization
• Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes
• Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
• Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models
• Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
• On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
• Localized Debiased Machine Learning: Efficient Estimation of Quantile Treatment Effects, Conditional Value at Risk, and Beyond
• Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
• Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved
• Causal Inference with Noisy and Missing Covariates via Matrix Factorization