We study the distribution of multiple homogeneous items to multiple agen...
We study a generalization of both the classic single-dimensional mechani...
This paper develops a framework for the design of scoring rules to optim...
We study the aggregate welfare and individual regret guarantees of dynam...
The difficulty of recruiting patients is a well-known issue in clinical
...
A common assumption in auction theory is that the information available ...
In this paper, we consider how to fairly allocate m indivisible chores t...
We consider the model of the data broker selling information to a single...
We study mechanisms for selling a single item when buyers have private v...
This paper considers prior-independent mechanism design, in which a sing...
We study a fair resource sharing problem, where a set of resources are t...
We study multinomial logit bandit with limited adaptivity, where the
alg...
This paper introduces an objective for optimizing proper scoring rules. ...
We consider agents with non-linear preferences given by private values a...
This paper compares two leading approaches for robust optimization in th...
We extend the model of stochastic bandits with adversarial corruption
(L...
We study how to maximize the broker's (expected) profit in a two-sided
m...
The revenue optimal mechanism for selling a single item to agents with
i...
Linear contextual bandit is a class of sequential decision making proble...
We study the linear contextual bandit problem with finite action sets. W...
We study the revenue maximization problem with an imprecisely estimated
...
In this note we prove bounds on the upper and lower probability tails of...
In this paper, we implement the Stochastic Damped LBFGS (SdLBFGS) for
st...
Generating good revenue is one of the most important problems in Bayesia...
In this paper, we focus on how to dynamically allocate a divisible resou...