multivariate regression

I3D-AE-LSTM: A 2-Stream Autoencoder for Action Quality Assessment using a Newly Created Cricket Batsman Video Dataset WACV 2025 Rectifying Conformity Scores for Better Conditional Coverage ICML 2025 FineMorphs: Affine-Diffeomorphic Sequences for Regression JMLR 2024 The Prevalence of Neural Collapse in Neural Multivariate Regression NeurIPS 2024 Multivariate Boosted Trees and Applications to Forecasting and Control JMLR 2022 New Insights for the Multivariate Square-Root Lasso JMLR 2022 Locally private online change point detection NeurIPS 2021 A convex optimization formulation for multivariate regression NeurIPS 2020 Multivariate Probability Calibration with Isotonic Bernstein Polynomials IJCAI 2020 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NeurIPS 2019 A Cluster Elastic Net for Multivariate Regression JMLR 2018 Autoregressive Convolutional Neural Networks for Asynchronous Time Series ICML 2018 Multivariate Regression on the Grassmannian for Predicting Novel Domains CVPR 2016 Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery JMLR 2015 Latent feature regression for multivariate count data AISTATS 2015 Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction ACML 2015 Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014 Multivariate Regression with Calibration NeurIPS 2014 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Multivariate Convex Regression with Adaptive Partitioning JMLR 2013 Nonparametric Reduced Rank Regression NeurIPS 2012 A Rotation Test to Verify Latent Structure JMLR 2010 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010 High-dimensional support union recovery in multivariate regression NeurIPS 2008