Search Results for author: Xiaosheng Mu

Found 7 papers, 0 papers with code

Coasian Dynamics under Informational Robustness

no code implementations9 Feb 2022 Jonathan Libgober, Xiaosheng Mu

Under a simple transformation of the buyer's value distribution, the solution (in the gap case) is payoff-equivalent to a classic environment where the buyer knows her valuation at the beginning.

Algorithm Design: A Fairness-Accuracy Frontier

no code implementations18 Dec 2021 Annie Liang, Jay Lu, Xiaosheng Mu

Whether it is optimal to ban an input generally depends on the designer's preferences.

Fairness

Monotone additive statistics

no code implementations1 Feb 2021 Xiaosheng Mu, Luciano Pomatto, Philipp Strack, Omer Tamuz

The expectation is an example of a descriptive statistic that is monotone with respect to stochastic dominance, and additive for sums of independent random variables.

Decision Making Descriptive

Background risk and small-stakes risk aversion

no code implementations15 Oct 2020 Xiaosheng Mu, Luciano Pomatto, Philipp Strack, Omer Tamuz

We show that under plausible levels of background risk, no theory of choice under risk -- such as expected utility theory, prospect theory, or rank dependent utility -- can simultaneously satisfy the following three economic postulates: (i) Decision makers are risk-averse over small gambles, (ii) they respect stochastic dominance, and (iii) they account for background risk.

Dynamically Aggregating Diverse Information

no code implementations15 Oct 2019 Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis

An agent has access to multiple information sources, each of which provides information about a different attribute of an unknown state.

Attribute

Overabundant Information and Learning Traps

no code implementations21 May 2018 Annie Liang, Xiaosheng Mu

We develop a model of social learning from overabundant information: Short-lived agents sequentially choose from a large set of (flexibly correlated) information sources for prediction of an unknown state.

Optimal and Myopic Information Acquisition

no code implementations18 Mar 2017 Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis

We consider the problem of optimal dynamic information acquisition from many correlated information sources.

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