
DataDriven Tree Transforms and Metrics
We consider the analysis of high dimensional data given in the form of a...
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Mahalanonbis Distance Informed by Clustering
A fundamental question in data analysis, machine learning and signal pro...
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Unsupervised Ensemble Regression
Consider a regression problem where there is no labeled data and the onl...
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Removal of Batch Effects using DistributionMatching Residual Networks
Sources of variability in experimentally derived data include measuremen...
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DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Medical practitioners use survival models to explore and understand the ...
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A Deep Learning Approach to Unsupervised Ensemble Learning
We show how deep learning methods can be applied in the context of crowd...
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Unsupervised Ensemble Learning with Dependent Classifiers
In unsupervised ensemble learning, one obtains predictions from multiple...
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Estimating the Accuracies of Multiple Classifiers Without Labeled Data
In various situations one is given only the predictions of multiple clas...
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Ranking and combining multiple predictors without labeled data
In a broad range of classification and decision making problems, one is ...
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SpectralNet: Spectral Clustering using Deep Neural Networks
Spectral clustering is a leading and popular technique in unsupervised d...
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Efficient Algorithms for tdistributed Stochastic Neighborhood Embedding
tdistributed Stochastic Neighborhood Embedding (tSNE) is a method for ...
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Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
Latent variable models with hidden binary units appear in various applic...
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Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science
If we pick n random points uniformly in [0,1]^d and connect each point t...
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Defending against Adversarial Images using Basis Functions Transformations
We study the effectiveness of various approaches that defend against adv...
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Deep supervised feature selection using Stochastic Gates
In this study, we propose a novel nonparametric embedded feature select...
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Heavytailed kernels reveal a finer cluster structure in tSNE visualisations
Tdistributed stochastic neighbour embedding (tSNE) is a widely used da...
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The Spectral Underpinning of word2vec
word2vec due to Mikolov et al. (2013) is a word embedding method that is...
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Spectral neighbor joining for reconstruction of latent tree models
A key assumption in multiple scientific applications is that the distrib...
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