nested EM algorithm for improved maximum likelihood estimation of latent class models with covariates

Partitioned Tensor Factorization

Matrix and Tensor Completion for Background Model Initialization

Bayesian mOdeling Of Spatial Transcriptomics via Gaussian Process

Probabilistic Tensor Toolbox

The allocore tensor decomposition for sparse count data

R code to fit the model CONGA for count data

Bayesian testing for group differences in multivariate categorical data via dependent mixtures of tensor factorizations

Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods

Field-of-Experts Filters Guided Tensor Completion

Multi-filters guided low-rank tensor coding for image inpainting

Code for the paper "X. Zhang and M. K. Ng. Low Rank Tensor Completion with Poisson Observations, IEEE TPAMI, 2021."

Computing conformal prediction set without data splitting

Conformalized matrix completion

Official implementation of the ICML 2023 work "Sequential Predictive Conformal Inference"

BayeSMG matrix completion algorithm Codes in MATLAB

Repository for the paper "Transformer Conformal Prediction for Time Series"

Tools for conformal inference in regression

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

Boosted Sparse and Low-Rank Tensor Regression

Implementation of BroadcasTR https://doi.org/10.1093/jrsssb/qkae027