Modeling non-Lambertian effects such as facial specularity leads to a mo...
We study the stochastic contextual bandit with knapsacks (CBwK) problem,...
Differentially private (DP) stochastic convex optimization (SCO) is
ubiq...
This paper deals with the challenging task of synthesizing novel views f...
Recently, federated learning has emerged as a promising approach for tra...
Contextual bandit algorithms are useful in personalized online
decision-...
Recent works have shown that a rich set of semantic directions exist in ...
Parameter updating is an important stage in parallelism-based distribute...