We formulate, analyze and solve the problem of best arm identification w...
Graph neural networks have achieved significant success in representatio...
We study the problem of multi-task non-smooth optimization that arises
u...
Constructing asymptotically valid confidence intervals through a valid
c...
Today's cyber-world is vastly multivariate. Metrics collected at extreme...
Recently, many approaches tackle the Unsupervised Domain Adaptive person...
Modeling inter-dependencies between time-series is the key to achieve hi...
Adversarial examples are input examples that are specifically crafted to...
We study the problem of making item recommendations to ephemeral groups,...
Deep learning-based systems have been shown to be vulnerable to adversar...
Computation-efficient resource allocation strategies are of crucial
impo...
Concatenation of the deep network representations extracted from differe...
We present a robust method for estimating the facial pose and shape
info...
Facial landmark localization is a fundamental module for face recognitio...