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Name of Speaker Chen Xi Schedule 2 January 2024, 10am – 11.30am Venue I4-01-03 (Innovation 4.0, level 1, Seminar Room) Link to Register https://nus-sg.zoom.us/meeting/register/tZ0tcuygqTstGtXSwYItVg9uaq46sPHW8Akl Title Digital Privacy in Personalized Pricing and New Directions in DeFI Abstract Abstract: This talk has two parts. The first part is on digital privacy in personalized pricing. When […] |
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Name of Speaker Zhao Jinglong Schedule 12 January 2024, 10am – 11.30am Venue BIZ1-0203 Link to Register https://nus-sg.zoom.us/meeting/register/tZEpcOGopz4jE91kG6vFGQ78zjTCRdz9iGFZ Title Adaptive Neyman Allocation Abstract In experimental design, Neyman allocation refers to the practice of allocating subjects into treated and control groups, potentially in unequal numbers proportional to their respective standard deviations, with the objective of […] |
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Name of Speaker Qin Hanzhang Schedule 19 January 2024, 10am – 11.30am Venue I4-01-03 Seminar Room Link to Register https://nus-sg.zoom.us/meeting/register/tZEpce-orz8rEtZcddjRXnFf3EACPJSUMiAt Title Lower Sample Complexity of Reinforcement Learning for Structured MDPs: Evidence from Inventory Control Abstract I will discuss the important open problems of 1) What is the sample complexity (i.e., how may number of […] |
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Name of Speaker Zhan Ruohan Schedule 26 January 2024, 10am – 11.30am Venue I4-01-03 Link to Register https://nus-sg.zoom.us/meeting/register/tZApdeirrD8uGdK8Z3tiW6Can4XywK0kVD4C Title Estimation and Inference under Recommender Interference Abstract In digital platforms, recommender systems (RecSys) are essential for aligning content with viewer preferences. This work considers the evaluation of RecSys updates, referred to as "treatments", by […] |
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Name of Speaker Canberk Ucel Schedule 2 February 2024, 10am – 11.30am Venue I4-01-03 Seminar Room Link to Register https://nus-sg.zoom.us/meeting/register/tZcvcuivqDMjGdS7y3CPbCx_Y701qvieVxVJ Title The Value of Advice: Evidence from Thousands of Smallholder Farms in the Philippines Abstract Increasing the productivity of Philippine coconut farms that are well below world standards could improve the livelihoods of 3.4 […] |
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