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Regression

4,964 papers

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Papers

Deep Multi-Fidelity Active Learning of High-Dimensional Outputs AISTATS 2022
AutoIP: A United Framework to Integrate Physics into Gaussian Processes ICML 2022
Two-Sided Weak Submodularity for Matroid Constrained Optimization and Regression COLT 2022
The Implicit Bias of Benign Overfitting COLT 2022
Network Regression with Graph Laplacians JMLR 2022
Contraction rates for sparse variational approximations in Gaussian process regression JMLR 2022
Temporally-Consistent Survival Analysis NIPS 2022
Speech Intelligibility Prediction for Hearing-Impaired Listeners with the LEAP Model INTERSPEECH 2022
Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications INTERSPEECH 2022
Biomass Prediction With 3D Point Clouds From LiDAR WACV 2022
Multi-Type Urban Crime Prediction AAAI 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment AAAI 2022
EV-GAN: Simulation of extreme events with ReLU neural networks JMLR 2022
The Hessian Screening Rule NIPS 2022
Vector-Valued Least-Squares Regression under Output Regularity Assumptions JMLR 2022
An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression JMLR 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022
Non-Linear Pairwise Language Mappings for Low-Resource Multilingual Acoustic Model Fusion INTERSPEECH 2022
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models AISTATS 2022
CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment INTERSPEECH 2022
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization NIPS 2022
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits NIPS 2022
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays JMLR 2022
Learning to Search in Local Branching AAAI 2022