We introduce a new type of query mechanism for collecting human feedback...
The support vector machine (SVM) is a supervised learning algorithm that...
Detecting change points sequentially in a streaming setting, especially ...
In inverse problems we aim to reconstruct some underlying signal of inte...
Many modern applications require detecting change points in complex
sequ...
Active learning is commonly used to train label-efficient models by
adap...
Overparametrized neural networks tend to perfectly fit noisy training da...
We present novel analysis and algorithms for solving sparse phase retrie...
Modern neural interfaces allow access to the activity of up to a million...
Thomson's multitaper method estimates the power spectrum of a signal fro...
Sequential sensor data is generated in a wide variety of practical
appli...
A popular model of preference in the context of recommendation systems i...
The goal of knowledge tracing is to track the state of a student's knowl...
We consider sketched approximate matrix multiplication and ridge regress...
This paper considers the problem of estimating a low-rank matrix from th...
Suppose that we wish to estimate a user's preference vector w from paire...
We study the problem of actively imaging a range-limited far-field scene...
In this paper we consider the problem of estimating the parameters of a
...
Suppose that we wish to estimate a vector x from a set of binary
paired ...
In this paper, we provide a Rapid Orthogonal Approximate Slepian Transfo...
Low-rank matrix factorizations arise in a wide variety of applications -...
The emergence of low-cost sensor architectures for diverse modalities ha...