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multi-task regression

10 papers

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Co-occurring keywords

multi-task learning (2575) kernel methods (1097) gaussian process (1200) covariance matrix estimation (10) stochastic variational inference (59) sinkhorn algorithm (64) multivariate time series (139) random matrix theory (63) learning curve (34) heterogeneous datum (119)

Papers

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting NIPS 2024
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NIPS 2022
Doubly Mixed-Effects Gaussian Process Regression AISTATS 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
Multi-task Regression using Minimal Penalties JMLR 2012
Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012
Sparse Bayesian Multi-Task Learning NIPS 2011
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NIPS 2009