We study mechanism design when agents may have hidden secondary goals wh...
We study autobidding ad auctions with user costs, where each bidder is
v...
We study the price of anarchy of the first-price auction in the autobidd...
We consider the problem of planning with participation constraints intro...
Many scientific conferences employ a two-phase paper review process, whe...
We study Bayesian automated mechanism design in unstructured dynamic
env...
We study the problem of automated mechanism design with partial verifica...
Machine learning techniques can be useful in applications such as credit...
We study planning with submodular objective functions, where instead of
...
We consider three important challenges in conference peer review: (i)
re...
We give a row sampling algorithm for the quantile loss function with sam...
Q-learning with function approximation is one of the most popular method...
In this paper, we present a framework for studying the following fundame...
We introduce two new "degree of complementarity" measures, which we refe...