In statistical learning theory, determining the sample complexity of
rea...
The one-inclusion graph algorithm of Haussler, Littlestone, and Warmuth
...
Naively storing a counter up to value n would require Ω(log n) bits
of m...
We consider the problem of learning mixtures of Gaussians under the
cons...
We provide sample complexity upper bounds for agnostically learning
mult...
Sum-Product Networks (SPNs) can be regarded as a form of deep graphical
...