In this article we present new results about the expressivity of Graph N...
Building on previous Bayesian approaches, we introduce a novel formulati...
In this article we present new results on neural networks with linear
th...
Inspired by branch-and-bound and cutting plane proofs in mixed-integer
o...
In the first part of this paper, we present a unified framework for anal...
In modern ranking problems, different and disparate representations of t...
We contribute to a better understanding of the class of functions that i...
We study the complexity of cutting planes and branching schemes from a
t...
Learning to rank – producing a ranked list of items specific to a query ...
We investigate the theoretical complexity of branch-and-bound (BB) and
c...
We look at stochastic optimization problems through the lens of statisti...
RMSProp and ADAM continue to be extremely popular algorithms for trainin...
Motivated by the resurgence of neural networks in being able to solve co...
In "Dictionary Learning" one tries to recover incoherent matrices A^* ∈R...
In this paper we investigate the family of functions representable by de...