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• Example Page 1
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• 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
• Stochastic Optimization Forests
• Smooth contextual bandits: bridging the parametric and non-differentiable regret regimes