We study statistical/computational tradeoffs for the following density
e...
An ε-approximate quantile sketch over a stream of n inputs
approximates ...
We give improved tradeoffs between space and regret for the online learn...
Recent work shows that the expressive power of Graph Neural Networks (GN...
Histograms, i.e., piece-wise constant approximations, are a popular tool...
We consider the question of speeding up classic graph algorithms with
ma...
We revisit the problem of privately releasing the all-pairs shortest pat...
We propose data-driven one-pass streaming algorithms for estimating the
...
We propose a model for online graph problems where algorithms are given
...
We introduce a framework for studying how distributional assumptions on ...