research
∙
03/16/2023
Multi-modal Differentiable Unsupervised Feature Selection
Multi-modal high throughput biological data presents a great scientific ...
share
research
∙
11/10/2022
DiSC: Differential Spectral Clustering of Features
Selecting subsets of features that differentiate between two conditions ...
research
∙
02/26/2021
Spectral Top-Down Recovery of Latent Tree Models
Modeling the distribution of high dimensional data by a latent tree grap...
research
∙
06/27/2020
Super-resolution multi-reference alignment
We study super-resolution multi-reference alignment, the problem of esti...
research
∙
02/28/2020
Spectral neighbor joining for reconstruction of latent tree models
A key assumption in multiple scientific applications is that the distrib...
research
∙
02/27/2020
The Spectral Underpinning of word2vec
word2vec due to Mikolov et al. (2013) is a word embedding method that is...
research
∙
02/27/2018
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
Latent variable models with hidden binary units appear in various applic...
research
∙
11/07/2016
Minimax-optimal semi-supervised regression on unknown manifolds
We consider semi-supervised regression when the predictor variables are ...
research
∙
02/06/2016
A Deep Learning Approach to Unsupervised Ensemble Learning
We show how deep learning methods can be applied in the context of crowd...
research
∙
10/20/2015
Unsupervised Ensemble Learning with Dependent Classifiers
In unsupervised ensemble learning, one obtains predictions from multiple...
research
∙
07/29/2014
