01이 칸의 논문
- Deep Learning-Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence
- Targeting for Long-Term Outcomes
- Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations
- When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business
- Efficiently Evaluating Targeting Policies: Improving on Champion vs. Challenger Experiments
- Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges
02같은 주제, 다른 방법
- Learning Optimal Prescriptive Trees from Observational Data
- A Nonparametric Framework for Online Stochastic Matching with Correlated Arrivals
- Nonstationary Experimental Design Under Structured Trends
- Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
- Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Panel Experiments
- Learning to Optimally Stop Diffusion Processes, with Financial Applications
- Transfer Learning, Cross Learning and Co-Learning with Operational Data Analytics (ODA)
- Estimation Errors as Regret Lower Bounds for Linear Contextual Bandits
- Markovian Search with Ex Ante Constraints: Theory and Applications to Socially Aware Algorithmic Hiring
- Fast and Simple Adaptive Elicitations