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When Personalization Harms Performance

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Speaker: Berk Ustun (UCSD) Title: When Personalization Harms Performance Abstract: Clinical prediction models often encode group attributes like sex, age, and HIV status for personalization – i.e., to assign more accurate predictions to heterogeneous...

The Method of Equal Shares for Participatory Budgeting

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This Friday, 1-2pm in SEC 1.413, we are very excited to have Dominik Peters (LAMSADE) speak in-person on: The Method of Equal Shares for Participatory Budgeting Abstract: In Participatory Budgeting, cities allow their residents to influence the city’s...

The Method of Equal Shares for Participatory Budgeting

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February 17, 1-2pm in SEC 1.413 Dominik Peters (LAMSADE) The Method of Equal Shares for Participatory Budgeting In Participatory Budgeting, cities allow their residents to influence the city’s budget through a vote. The standard voting method simply sorts...

Included-variable bias and everything but the kitchen sink

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This Friday, 1-2pm in SEC 1.413, we are very excited to have Sharad Goel (Harvard Kennedy School) speak in-person on: Included-variable bias and everything but the kitchen sink Abstract: When estimating the risk of an adverse outcome, common statistical...

A Simple Theory of Vampire Attacks

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Scott Kominers (Harvard Business School) A Simple Theory of Vampire Attacks Abstract: Firms often find it valuable to lock in repeat consumers, and they often do so via loyalty programs such as frequent-flyer miles or discounts for returning consumers. We...

Marketplace Experimentation and Interference Effects

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This Friday, 1-2pm in SEC 1.413, Hannah Li will be speaking i n person on: Marketplace Experimentation and Interference Effects Abstract: Platforms often rely on experiments (A/B tests) to aid decision-making. However, in many marketplace experiments...

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

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Elisabeth C. Paulson (Harvard Business School) Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing Abstract: This work proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a...

Multi-channel Autobidding with Budget and ROI Constraints

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Negin Golrezaei, MIT Sloan March 10, 2023, SEC 1.413 (in-person) Multi-channel Autobidding with Budget and ROI Constraints Abstract: In digital online advertising, advertisers procure ad impressions simultaneously on multiple platforms, or so-called...

Auctions between Regret-Minimizing Agents: On Learning Dynamics and User Incentives

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This Friday 1-2pm fully on Zoom, we have Yoav Kolumbus (The Hebrew University of Jerusalem) on: Auctions between Regret-Minimizing Agents: On Learning Dynamics and User Incentives Abstract: The usage of automated learning agents is becoming increasingly...

Practical algorithms and experimentally validated incentives for equilibrium-based fair division (A-CEEI)

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Aviad Rubinstein (Stanford) Friday, May 5, in-person SEC 1.413 Practical algorithms and experimentally validated incentives for equilibrium-based fair division (A-CEEI) Abstract: Approximate Competitive Equilibrium from Equal Incomes (A-CEEI) is an...

Tao Lin & Lily Xu talks

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Tao Lin Persuading a Behavioral Agent: Approximately Best Responding and Learning Abstract: The classic Bayesian persuasion model assumes that the receiver is fully Bayesian and best responds to the sender’s signaling scheme. In this talk, I will talk...

Group fairness in dynamic refugee assignment

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This Friday, 1-2pm in SEC 1.413, we will have professor Thodoris Lykouris from MIT to speak in-person on Title: Group fairness in dynamic refugee assignment Abstract: Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host...