Mark A. Davenport | DeepAI

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∙ 09/08/2023

Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning

We introduce a new type of query mechanism for collecting human feedback...

0 Austin Xu, et al. ∙

∙ 05/03/2023

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features

The support vector machine (SVM) is a supervised learning algorithm that...

0 Chiraag Kaushik, et al. ∙

∙ 10/31/2022

Data-Adaptive Symmetric CUSUM for Sequential Change Detection

Detecting change points sequentially in a streaming setting, especially ...

0 Nauman Ahad, et al. ∙

∙ 10/10/2022

Loop Unrolled Shallow Equilibrium Regularizer (LUSER) – A Memory-Efficient Inverse Problem Solver

In inverse problems we aim to reconstruct some underlying signal of inte...

0 Peimeng Guan, et al. ∙

∙ 02/08/2022

Learning Sinkhorn divergences for supervised change point detection

Many modern applications require detecting change points in complex sequ...

0 Nauman Ahad, et al. ∙

∙ 02/04/2022

Active metric learning and classification using similarity queries

Active learning is commonly used to train label-efficient models by adap...

0 Namrata Nadagouda, et al. ∙

∙ 11/09/2021

Harmless interpolation in regression and classification with structured features

Overparametrized neural networks tend to perfectly fit noisy training da...

0 Andrew D. McRae, et al. ∙

∙ 11/08/2021

Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer

We present novel analysis and algorithms for solving sparse phase retrie...

0 Andrew D. McRae, et al. ∙

∙ 10/29/2021

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time

Modern neural interfaces allow access to the activity of up to a million...

6 Feng Zhu, et al. ∙

∙ 03/22/2021

Thomson's Multitaper Method Revisited

Thomson's multitaper method estimates the power spectrum of a signal fro...

0 Santhosh Karnik, et al. ∙

∙ 09/24/2020

Semi-supervised sequence classification through change point detection

Sequential sensor data is generated in a wide variety of practical appli...

0 Nauman Ahad, et al. ∙

∙ 09/04/2020

Simultaneous Preference and Metric Learning from Paired Comparisons

A popular model of preference in the context of recommendation systems i...

0 Austin Xu, et al. ∙

∙ 05/18/2020

Dynamic Knowledge embedding and tracing

The goal of knowledge tracing is to track the state of a student's knowl...

1 Liangbei Xu, et al. ∙

∙ 03/20/2020

Localized sketching for matrix multiplication and ridge regression

We consider sketched approximate matrix multiplication and ridge regress...

0 Rakshith S Srinivasa, et al. ∙

∙ 07/11/2019

Low-rank matrix completion and denoising under Poisson noise

This paper considers the problem of estimating a low-rank matrix from th...

0 Andrew D. McRae, et al. ∙

∙ 05/10/2019

Active Embedding Search via Noisy Paired Comparisons

Suppose that we wish to estimate a user's preference vector w from paire...

0 Gregory H. Canal, et al. ∙

∙ 01/31/2019

Trading beams for bandwidth: Imaging with randomized beamforming

We study the problem of actively imaging a range-limited far-field scene...

0 Rakshith Sharma Srinivasa, et al. ∙

∙ 03/02/2018

Estimation of Poisson arrival processes under linear models

In this paper we consider the problem of estimating the parameters of a ...

0 Michael G. Moore, et al. ∙

∙ 02/19/2018

As you like it: Localization via paired comparisons

Suppose that we wish to estimate a vector x from a set of binary paired ...

0 Andrew K. Massimino, et al. ∙

∙ 12/13/2017

ROAST: Rapid Orthogonal Approximate Slepian Transform

In this paper, we provide a Rapid Orthogonal Approximate Slepian Transfo...

0 Zhihui Zhu, et al. ∙

∙ 10/28/2016

Dynamic matrix recovery from incomplete observations under an exact low-rank constraint

Low-rank matrix factorizations arise in a wide variety of applications -...

0 Liangbei Xu, et al. ∙

∙ 01/07/2009

A Theoretical Analysis of Joint Manifolds

The emergence of low-cost sensor architectures for diverse modalities ha...

0 Mark A. Davenport, et al. ∙

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