ℓ1-penalized Multinomial Regression: Estimation, inference, and
prediction, with an application to risk factor identification for different
dementia subtypes
February 5, 2023
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Statistics
Methodology
Applications
High-dimensional multinomial regression models are very useful in practice
but have received less research attention than logistic regression models,
especially from the perspective of statistical inference. In this work, we
analyze the est...
Motion-compensated MR CINE reconstruction with reconstruction-driven
motion estimation
February 5, 2023
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Electrical Engineering and Systems Science
Computer Science
Image and Video Processing
Computer Vision and Pattern Recognition
Machine Learning
In cardiac CINE, motion-compensated MR reconstruction (MCMR) is an effective
approach to address highly undersampled acquisitions by incorporating motion
information between frames. In this work, we propose a novel perspective for
addressin...
A transcendental approach to non-Archimedean metrics of pseudoeffective
classes
February 5, 2023
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Mathematics
Algebraic Geometry
Complex Variables
Differential Geometry
We introduce the concept of non-Archimedean metrics attached to a
transcendental pseudoeffective cohomology class on a compact K\"ahler manifold.
This is obtained via extending the Ross-Witt Nystr\"om correspondence to the
relative case, an...
Resilient Consensus Sustained Collaboratively
February 5, 2023
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Computer Science
Cryptography and Security
Databases
Distributed, Parallel, and Cluster Computing
The recent growth of blockchain technology has accelerated research on
decentralized platforms. Initial blockchain platforms decide on what should be
added to the ledger based on Proof-of-Work (PoW) consensus protocol. PoW
requires its part...
Linking Datasets on Organizations Using Half A Billion Open-Collaborated
Records
February 5, 2023
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Computer Science
Social and Information Networks
Scholars studying organizations often work with multiple datasets lacking
shared identifiers or covariates. In such situations, researchers usually use
approximate string ("fuzzy") matching methods to combine datasets. String
matching, alth...
A Convex Hull Cheapest Insertion Heuristic for the Non-Euclidean TSP
February 5, 2023
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Computer Science
Electrical Engineering and Systems Science
Artificial Intelligence
Systems and Control
Systems and Control
The convex hull cheapest insertion heuristic is known to produce good
solutions to the Traveling Salesperson Problem in Euclidean spaces, but it has
not been extended to the non-Euclidean case. The proposed adaptation uses
multidimensional ...
From Volterra dislocations to strain-gradient plasticity
February 5, 2023
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Mathematics
Analysis of PDEs
Differential Geometry
We rigorously derive a strain-gradient model of plasticity as a
Γ-limit of continuum bodies containing finitely-many edge-dislocations
(in two dimensions). The key difference from previous such derivations is the
elemental notion of ...
Novel Fundus Image Preprocessing for Retcam Images to Improve Deep
Learning Classification of Retinopathy of Prematurity
February 5, 2023
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Electrical Engineering and Systems Science
Computer Science
Image and Video Processing
Computer Vision and Pattern Recognition
Machine Learning
Retinopathy of Prematurity (ROP) is a potentially blinding eye disorder
because of damage to the eye's retina which can affect babies born prematurely.
Screening of ROP is essential for early detection and treatment. This is a
laborious and...
Adapting to Continuous Covariate Shift via Online Density Ratio
Estimation
February 5, 2023
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Computer Science
Statistics
Machine Learning
Machine Learning
Dealing with distribution shifts is one of the central challenges for modern
machine learning. One fundamental situation is the covariate shift, where the
input distributions of data change from training to testing stages while the
input-co...
Latent Space Bayesian Optimization with Latent Data Augmentation for
Enhanced Exploration
February 5, 2023
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Computer Science
Machine Learning
Latent Space Bayesian Optimization (LSBO) combines generative models,
typically Variational Autoencoders (VAE), with Bayesian Optimization (BO) to
generate de-novo objects of interest. However, LSBO faces challenges due to the
mismatch betw...