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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...
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05/03/2023
New Equivalences Between Interpolation and SVMs: Kernels and Structured Features
The support vector machine (SVM) is a supervised learning algorithm that...
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10/31/2022
Data-Adaptive Symmetric CUSUM for Sequential Change Detection
Detecting change points sequentially in a streaming setting, especially ...
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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...
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02/08/2022
Learning Sinkhorn divergences for supervised change point detection
Many modern applications require detecting change points in complex sequ...
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02/04/2022
Active metric learning and classification using similarity queries
Active learning is commonly used to train label-efficient models by adap...
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11/09/2021
Harmless interpolation in regression and classification with structured features
Overparametrized neural networks tend to perfectly fit noisy training da...
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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...
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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...
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03/22/2021
Thomson's Multitaper Method Revisited
Thomson's multitaper method estimates the power spectrum of a signal fro...
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09/24/2020
Semi-supervised sequence classification through change point detection
Sequential sensor data is generated in a wide variety of practical appli...
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09/04/2020
Simultaneous Preference and Metric Learning from Paired Comparisons
A popular model of preference in the context of recommendation systems i...
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05/18/2020
Dynamic Knowledge embedding and tracing
The goal of knowledge tracing is to track the state of a student's knowl...
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03/20/2020
Localized sketching for matrix multiplication and ridge regression
We consider sketched approximate matrix multiplication and ridge regress...
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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...
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05/10/2019
Active Embedding Search via Noisy Paired Comparisons
Suppose that we wish to estimate a user's preference vector w from paire...
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01/31/2019
Trading beams for bandwidth: Imaging with randomized beamforming
We study the problem of actively imaging a range-limited far-field scene...
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03/02/2018
Estimation of Poisson arrival processes under linear models
In this paper we consider the problem of estimating the parameters of a ...
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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 ...
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12/13/2017
ROAST: Rapid Orthogonal Approximate Slepian Transform
In this paper, we provide a Rapid Orthogonal Approximate Slepian Transfo...
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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 -...
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01/07/2009
