384 citations · 505 across the 25 of their papers we have counts for
6 papers · 1 filter
SpeedCP: Fast Kernel-based Conditional Conformal Prediction
Yating Liu, Yeo Jin Jung, Zixuan Wu +2
Conformal prediction provides distribution-free prediction sets with finite-sample conditional guarantees. We build upon the RKHS-based framework of Gibbs et al. (2023), which leve…
Efficient Canonical Correlation Analysis with Sparsity
Zixuan Wu, Elena Tuzhilina, Coralie Rousseau +1
In high-dimensional settings, Canonical Correlation Analysis (CCA) often fails, and existing sparse methods force an untenable choice between computational speed and statistical ri…
Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions
Claire Donnat, Elena Tuzhilina
Canonical correlation analysis is a widespread technique for discovering linear relationships between two sets of variables. In high dimensions, however, standard estimates of the…
One-Bit Total Variation Denoising over Networks with Applications to Partially Observed Epidemics
Claire Donnat, Olga Klopp, Nicolas Verzelen
This paper introduces a novel approach for epidemic nowcasting and forecasting over networks using total variation (TV) denoising, a method inspired by classical signal processing…
Sparse topic modeling via spectral decomposition and thresholding
Huy Tran, Yating Liu, Claire Donnat
The probabilistic Latent Semantic Indexing model assumes that the expectation of the corpus matrix is low-rank and can be written as the product of a topic-word matrix and a word-d…
The Generalized Elastic Net for least squares regression with network-aligned signal and correlated design
Huy Tran, Sansen Wei, Claire Donnat
We propose a novel -penalty, which we refer to as the Generalized Elastic Net, for regression problems where the feature vectors are indexed by vertices of a given g…