We introduce an adaptive method with formal quality guarantees for weak
...
We develop and analyze a general technique for learning with an unknown
...
We study nonparametric density estimation in non-stationary drift settin...
We develop a rigorous mathematical analysis of zero-shot learning with
a...
Functional connectivity (FC) for quantifying interactions between region...
We present a novel method for reducing the computational complexity of
r...
The Markov-Chain Monte-Carlo (MCMC) method has been used widely in the
l...
The most important feature of Wikipedia is the presence of hyperlinks in...
While standard statistical inference techniques and machine learning
gen...
We tackle a fundamental problem in empirical game-theoretic analysis (EG...
Anonymous channels allow users to connect to websites or communicate wit...
We frame the problem of selecting an optimal audio encoding scheme as a
...
Visual representations of data (visualizations) are tools of great impor...
Over the past decades, researchers and ML practitioners have come up wit...
Machine learning is an important research area in particle physics, begi...
In this work we focus on efficient heuristics for solving a class of
sto...