In many machine learning systems that jointly learn from multiple modali...
The recent explosion of interest in multimodal applications has resulted...
In their seminal work, Nayyar et al. (2013) showed that imperfect inform...
Function approximation (FA) has been a critical component in solving lar...
Correlated Equilibrium is a solution concept that is more general than N...
Stackelberg equilibrium is a solution concept in two-player games where ...
A central problem in machine learning and statistics is to model joint
d...
This paper presents a multi-staged approach to nonmyopic adaptive Gaussi...
Self-play methods based on regret minimization have become the state of ...
While Nash equilibrium in extensive-form games is well understood, very
...
With the recent advances in solving large, zero-sum extensive form games...
Although recent work in AI has made great progress in solving large,
zer...
This paper presents a novel nonmyopic adaptive Gaussian process planning...