We propose a theoretical framework for studying the imitation of stochas...
A major challenge in reinforcement learning is to develop practical,
sam...
Smoothed online learning has emerged as a popular framework to mitigate ...
Suppose we are given access to n independent samples from distribution
μ...
The problem of piecewise affine (PWA) regression and planning is of
foun...
Due to the drastic gap in complexity between sequential and batch statis...
Consider an empirical measure ℙ_n induced by n iid samples from
a d-dime...
Conventional methods for query autocompletion aim to predict which compl...
Much of modern learning theory has been split between two regimes: the
c...
It has long been thought that high-dimensional data encountered in many
...
We introduce the technique of generic chaining and majorizing measures f...
Recently, the task of image generation has attracted much attention. In
...
Recently, the task of image generation has attracted much attention. In
...
We study convergence of a generative modeling method that first estimate...