We study mechanism design when agents may have hidden secondary goals wh...
We propose a model for learning with bandit feedback while accounting fo...
We initiate the study of Bayesian conversations, which model interactive...
We consider the problem of evaluating forecasts of binary events whose
p...
Myerson's regularity condition of a distribution is a standard assumptio...
We construct explicit combinatorial Bernoulli factories for the class of...
We study the problem of contextual search in the adversarial noise model...
We consider the problem of computing with many coins of unknown bias. We...
The common way to optimize auction and pricing systems is to set aside a...
We consider the following variant of contextual linear bandits motivated...
In the Learning to Price setting, a seller posts prices over time with t...
We define a model of interactive communication where two agents with pri...
We analyze the optimal information design in a click-through auction wit...
The secretary problem is probably the purest model of decision making un...
A Bernoulli factory is an algorithmic procedure for exact sampling of ce...
Consider a gambler who observes the realizations of n independent,
non-n...
We study "adversarial scaling", a multi-armed bandit model where rewards...
We study a general version of the problem of online learning under binar...
We consider a setting in which bidders participate in multiple auctions ...
The problem of market clearing is to set a price for an item such that
q...
We study the problem of computing revenue-optimal personalize
(non-anony...
We are interested in the setting where a seller sells sequentially arriv...
We study a twist on the classic secretary problem, which we term the
sec...
We study the fundamental problem of selling a single indivisible item to...
Gross substitutability is a central concept in Economics and is connecte...
We study the problem of contextual search, a multidimensional generaliza...
We introduce a new model of stochastic bandits with adversarial corrupti...