8 citations · 21 across the 10 of their papers we have counts for
10 papers
Sequentially Optimal Pricing under Informational Robustness
Zihao Li, Jonathan Libgober, Xiaosheng Mu
A seller sells an object over time but is uncertain how the buyer learns their willingness-to-pay. We consider informational robustness under \textit{limited commitment}, where the…
Algorithm Design: A Fairness-Accuracy Frontier
Annie Liang, Jay Lu, Xiaosheng Mu +1
Algorithm designers increasingly optimize not only for accuracy, but also for the fairness of the algorithm across pre-defined groups. We study the tradeoff between fairness and ac…
Monotone additive statistics
Xiaosheng Mu, Luciano Pomatto, Philipp Strack +1
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. We provide a…
Background risk and small-stakes risk aversion
Xiaosheng Mu, Luciano Pomatto, Philipp Strack +1
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 simulta…
Monotone additive statistics on heavy-tailed convolution semigroups
Tobias Fritz, Xiaosheng Mu, Omer Tamuz
We study sub-semigroups of the semigroup of probability measures on and monotone additive statistics on them, by which we mean maps to the reals that are monotone with…
Dynamically Aggregating Diverse Information
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. Information is acquired continuously -- whe…
From Blackwell Dominance in Large Samples to Renyi Divergences and Back Again
Xiaosheng Mu, Luciano Pomatto, Philipp Strack +1
We study repeated independent Blackwell experiments; standard examples include drawing multiple samples from a population, or performing a measurement in different locations. In th…
Overabundant Information and Learning Traps
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 predic…
Optimal and Myopic Information Acquisition
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
We consider the problem of optimal dynamic information acquisition from many correlated information sources. Each period, the decision-maker jointly takes an action and allocates a…
Log-concavity of a Mixture of Beta Distributions
Xiaosheng Mu
We show that a mixture of Beta distributions has log-concave density whenever the mixing weights are themselves log-concave. Some economic and statistical applications are provided…