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Seminar Schedule Fall 2022

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Fall 2022 The EconCS Group holds an Economics and Computer Science research seminar each semester. Fall 2022 meetings are held at 1-2:30 PM on Fridays. Seminar Coordinators for Fall '22 are Srivatsa R Sai and Daniel Halpern. September 9 Rik Sengupta...

The Value of Individual Risk Prediction in Wisconsin Public Schools

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The EconCS Group holds an Economics & Computer Science research seminar each semester. Fall '23 meetings are at 1:30 - 2:30 PM on Fridays in SEC 1.413. Seminar Coordinators are Shirley Zhang and Tao Lin. SEC 1.413 is on ground level at the NW corner of...

Learning to Leverage the Information Lever: Online Recommendation and Dynamic Pricing

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Speaker: Wei Tang (Columbia) Title: Learning to Leverage the Information Lever: Online Recommendation and Dynamic Pricing Abstract: Modern customers' decisions are intricately shaped not only by their own preferences but also by the associated information...

Fair Price Discrimination

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Speaker: Kangning Wang (stanford postdoc) Title: Fair Price Discrimination Abstract: A seller is pricing identical copies of a good to a stream of unit-demand buyers. Each buyer has a value on the good as his private information. The seller only knows the...

Loss function design for improved decision-making

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Speaker: Jessie Finocchiaro (Harvard postdoc) Talk Title: Loss function design for improved decision-making Time & Location: 12/1, Friday, 1:30 - 2:30pm, SEC 1.413. Abstract: Algorithmic predictions are pervasive in our society, and these predictions are...

Game-Theoretic Reinforcement Learning

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Speaker: Stephen McAleer (CMU postdoc) Title: Game-Theoretic Reinforcement Learning Abstract: Game-theoretic reinforcement learning studies reinforcement learning algorithms that have guarantees of convergence to equilibrium. In this talk I give an...

Incentive-theoretic Hypothesis Testing

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Speaker: Stephen Bates (MIT) Title: Incentive-theoretic Hypothesis Testing Abstract: Contemporary scientific research is a distributed, collaborative endeavor, carried out by teams of researchers, regulatory institutions, funding agencies, commercial...

Deep Reinforcement Learning for Multi-Agent Interaction

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Speaker: Stefano V. Albrecht (University of Edinburgh) Title: Deep Reinforcement Learning for Multi-Agent Interaction Abstract: Our group specialises in developing machine learning algorithms for autonomous systems control, with a particular focus on deep...

Will Blockchains Disintermediate Platforms? The Problem of Credible Decentralization in Daos

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Speaker: Hanna Halaburda (NYU) Logistics: Friday, 11/17 from 1:30 - 2:30 pm in SEC 1.413 Talk Title: Will Blockchains Disintermediate Platforms? The Problem of Credible Decentralization in Daos Talk Abstract: Blockchain technologies are designed to...

Ex-Post Group Fairness and Individual Fairness in Ranking

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Speaker: Sruthi Gorantla (IISc Bangalore) Title: Ex-Post Group Fairness and Individual Fairness in Ranking Abstract: Fair ranking tasks, which ask to rank a set of items to maximize utility subject to satisfying group-fairness constraints, have gained...

Iterative Network Pricing for Ridesharing Platforms

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Speaker: Hongyao Ma (Columbia Business School) Time & location: 11:00 - 12:00 on Thursday, Oct 26, at Title: Iterative Network Pricing for Ridesharing Platforms Abstract: Ridesharing platforms match riders and drivers, using dynamic pricing to balance...

Fine-tuning Games

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Speaker: Benjamin Laufer (Cornell Tech) Talk Title: Fine-tuning Games Abstract: Major advances in Machine Learning (ML) and Artificial Intelligence (AI) increasingly take the form of developing and releasing general-purpose models. These models are...