We study mechanism design when agents may have hidden secondary goals wh...
We initiate the study of Bayesian conversations, which model interactive...
We consider the problem of evaluating forecasts of binary events whose
p...
We study the power of menus of contracts in principal-agent problems wit...
We consider a number of questions related to tradeoffs between reward an...
Blackwell's celebrated approachability theory provides a general framewo...
In this work, we present and study a new framework for online learning i...
We construct explicit combinatorial Bernoulli factories for the class of...
We study the problem of contextual search in the adversarial noise model...
We introduce the concept of history-restricted no-regret online learning...
We study repeated two-player games where one of the players, the learner...
We consider the problem of computing with many coins of unknown bias. We...
We consider the problem of multi-class classification, where a stream of...
We consider the following variant of contextual linear bandits motivated...
We study the problem of repeatedly auctioning off an item to one of k
bi...
A Bernoulli factory is an algorithmic procedure for exact sampling of ce...
In the classical principal-agent problem, a principal must design a cont...
In many online platforms, customers' decisions are substantially influen...
The display advertising industry has recently transitioned from second- ...
Consider a gambler who observes the realizations of n independent,
non-n...
We study a general version of the problem of online learning under binar...
How should a player who repeatedly plays a game against a no-regret lear...
In the classical contextual bandits problem, in each round t, a learner
...
We study the problem of contextual search, a multidimensional generaliza...
We consider the problem of a single seller repeatedly selling a single i...
We consider a simple streaming game between two players Alice and Bob, w...
We study a strategic version of the multi-armed bandit problem, where ea...
Motivated by applications in recommender systems, web search, social cho...