Several cloud-based applications, such as cloud gaming, rent servers to
...
Recently MV18a identified and initiated work on the new problem of
under...
We study oblivious sketching for k-sparse linear regression under variou...
Treatment effect estimation is a fundamental problem in causal inference...
e consider the experimental design problem in an online environment, an
...
The goal of Approximate Query Processing (AQP) is to provide very fast b...
Many models for graphs fall under the framework of edge-independent dot
...
In this work, we study longest common substring, pattern matching, and
w...
We give relative error coresets for training linear classifiers with a b...
Understanding generalization and estimation error of estimators for simp...
We study the problem of machine unlearning and identify a notion of
algo...
We study the online discrepancy minimization problem for vectors in
ℝ^d ...
Adversarial training is among the most effective techniques to improve t...
Graph Neural Networks (GNNs) have proven to be useful for many different...
In this paper, we study the problem of finding a maximum matching in the...
We address the following dynamic version of the school choice question: ...
Birkhoff's theorem, which has also been called the fundamental theorem
...
Given an instance A of stable matching, let B be the instance that
resul...
We study a natural generalization of stable matching to the maximum weig...
We model a situation in which a collection of species derive their fitne...