[Statlist] Next talk: Friday, 06.09.2019, with Stefan Wagner, Stanford University

[Maurer Letizia]

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ETH and University of Zurich

Organisers:

Proff. P. Bühlmann - L. Held - T. Hothorn - M. Maathuis -
N. Meinshausen - S. van de Geer - M. Wolf

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We are glad to announce the following talk:

Friday, 06.09.2019, at 15.15 h  ETH Zurich HG G19.1
with Stefan Wagner, Stanford University

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Title:

Experimenting in Equilibrium<https://math.ethz.ch/sfs/news-and-events/research-seminar.html?s=hs19#e_13006>

Abstract:

Classical approaches to experimental design assume that intervening on one unit does not affect other units. Recently, however, there has been considerable interest in settings where this non-interference assumption does not hold, e.g., when running experiments on supply-side incentives on a ride-sharing platform or subsidies in an energy marketplace. In this paper, we introduce a new approach to experimental design in large-scale stochastic systems with considerable cross-unit interference, under an assumption that the interference is structured enough that it can be captured using mean-field asymptotics. Our approach enables us to accurately estimate the effect of small changes to system parameters by combining unobstrusive randomization with light-weight modeling, all while remaining in equilibrium. We can then use these estimates to optimize the system by gradient descent. Concretely, we focus on the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and show that our approach enables the platform to optimize p based on perturbations whose magnitude can get vanishingly small in large systems.


This abstract is also to be found under the following link: http://stat.ethz.ch/events/research_seminar

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