multi-task regression

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting NeurIPS 2024 Doubly Mixed-Effects Gaussian Process Regression AISTATS 2022 FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NeurIPS 2022 Efficient and Scalable Multi-Task Regression on Massive Number of Tasks AAAI 2019 Wasserstein regularization for sparse multi-task regression AISTATS 2019 Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels JMLR 2016 Representational Similarity Learning with Application to Brain Networks ICML 2016 The knockoff filter for FDR control in group-sparse and multitask regression ICML 2016 Multi-task Regression using Minimal Penalties JMLR 2012 Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009