Best AI papers explained

160 Episodes

1. Evaluating Pharmaceutical Marketing to Physicians with Panel Data

   Published: 4/12/2025
2. Theory of the firm in the era of Agents

   Published: 4/12/2025
3. Large Language Models: An Applied Econometric Framework

   Published: 4/12/2025
4. Evaluating the World Model Implicit in a Generative Model

   Published: 4/12/2025
5. Machine Learning for Hypothesis Generation in Social Science

   Published: 4/11/2025
6. Active Learning for Moral Preference Elicitation: Challenges and Nuances

   Published: 4/11/2025
7. Gradient-Based Surveys for Nonparametric Discrete Choice Experiments

   Published: 4/11/2025
8. Explainable Data-driven Share-of-choice Product Line Design Optimization

   Published: 4/11/2025
9. The More You Ask, the Less You Get: When Additional Questions Hurt External Validity

   Published: 4/11/2025
10. Conjoint topics from Handbook of Marketing Analytics: Methods and Applications

    Published: 4/11/2025
11. Choice-Based Conjoint Analysis: Methods and Applications

    Published: 4/11/2025
12. Beyond Conjoint Analysis: The Future of Preference Measurement

    Published: 4/11/2025
13. An Optimization Framework for Adaptive Questionnaire Design

    Published: 4/11/2025
14. Adaptive Self-Explication of Multiattribute Preferences

    Published: 4/11/2025
15. Conjoint Analysis: Methods, Applications, and Recent Developments

    Published: 4/11/2025
16. Current Issues and a “Wish List” for Conjoint Analysis

    Published: 4/11/2025
17. Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis

    Published: 4/11/2025
18. Adaptive Polyhedral Methods for Conjoint Analysis

    Published: 4/11/2025
19. MSL: Enhancing LLM Recommenders via Masked Softmax Loss

    Published: 4/11/2025
20. Self-Supervised Deep Reinforcement Learning for Optimal Question Ranking

    Published: 4/11/2025