conftrace_

multi-output regression

29 papers

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Also known as

MOR

Co-occurring keywords

gaussian process (1200) variational inference (2069) latent variable model (564) multi-output gaussian process (11) bayesian inference (1907) kernel methods (1097) tensor decomposition (375) bayesian regression (25) stochastic process (388) spectral analysis (239)

Papers

Solving Sparse \& High-Dimensional-Output Regression via Compression NIPS 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NIPS 2024
Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models ACL 2022
Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022
Learning Nonparametric Volterra Kernels with Gaussian Processes NIPS 2021
Leveraging probabilistic circuits for nonparametric multi-output regression UAI 2021
Entangled Kernels - Beyond Separability JMLR 2021
Multi-Dimensional Classification via Sparse Label Encoding ICML 2021
Partial Multi-Label Learning with Label Distribution AAAI 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020
Variational Label Enhancement ICML 2020
Scalable Gaussian Process Regression Networks IJCAI 2020
Learning from demonstration with model-based Gaussian process CORL 2019
Partial Label Learning via Label Enhancement AAAI 2019
The Gaussian Process Autoregressive Regression Model (GPAR) AISTATS 2019
Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019
Scalable High-Order Gaussian Process Regression AISTATS 2019
Spectral Mixture Kernels for Multi-Output Gaussian Processes NIPS 2017
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes NIPS 2017
Multiple Output Regression with Latent Noise JMLR 2016
Supervised Descriptor Learning for Multi-Output Regression CVPR 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015