Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery

No abstract is available for this paper.

• Publication year

  2020

• Venue

  Neural Information Processing Systems

• Publication date

  Unknown publication date

• Fields of study

  Physics, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Sparse Modal Additive Model

  2020cited by this paper
• Sparse Shrunk Additive Models

  2020cited by this paper
• Neural Additive Models: Interpretable Machine Learning with Neural Nets

  2020cited by this paper
• CME Arrival Time Prediction Using Convolutional Neural Network

  2019cited by this paper
• Bilevel learning of the Group Lasso structure

  2018influential reference
• Bilevel Programming for Hyperparameter Optimization and Meta-Learning

  2018influential reference
• A New Tool for CME Arrival Time Prediction using Machine Learning Algorithms: CAT-PUMA

  2018influential reference
• Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space

  2018cited by this paper
• Sparse model identification and learning for ultra-high-dimensional additive partially linear models

  2018cited by this paper
• Forward-Backward Splitting with Bregman Distances

  2017influential reference
• Group Sparse Additive Machine

  2017cited by this paper
• A Statistical Learning Approach to Modal Regression

  2017influential reference
• Regularized Modal Regression with Applications in Cognitive Impairment Prediction

  2017influential reference
• Group Additive Structure Identification for Kernel Nonparametric Regression

  2017cited by this paper
• Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems

  2016cited by this paper
• Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization

  2016cited by this paper
• Additive Approximations in High Dimensional Nonparametric Regression via the SALSA

  2016cited by this paper
• Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition

  2015cited by this paper
• Forward-Backward Splitting with Bregman Distances

  2015cited by this paper
• Automatic structure recovery for additive models.

  2015cited by this paper
• A Fast Projection onto the Simplex and the l 1 Ball

  2015cited by this paper
• Nonparametric modal regression

  2014cited by this paper
• The mode functional is not elicitable

  2014cited by this paper
• Learning the Structure for Structured Sparsity

  2014cited by this paper
• A New Regression Model: Modal Linear Regression

  2014cited by this paper
• A Sparse-Group Lasso

  2013cited by this paper
• Group Sparse Additive Models

  2012influential reference
• Multi-level Lasso for Sparse Multi-task Regression

  2012cited by this paper
• Sparse Additive Machine

  2012cited by this paper
• VARIABLE SELECTION IN NONPARAMETRIC ADDITIVE MODELS.

  2010cited by this paper
• Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming

  2010cited by this paper
• A note on the group lasso and a sparse group lasso

  2010cited by this paper
• Group lasso with overlap and graph lasso

  2009cited by this paper
• The group lasso for logistic regression

  2008cited by this paper
• High-dimensional additive modeling

  2008cited by this paper
• An overview of bilevel optimization

  2007cited by this paper
• SpAM: Sparse Additive Models

  2007influential reference
• Model selection and estimation in regression with grouped variables

  2006cited by this paper
• Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery

  2005cited by this paper
• Regularized multi--task learning

  2004cited by this paper
• Multitask Learning

  1997cited by this paper
• Regression Shrinkage and Selection via the Lasso

  1996influential reference
• Generalized Additive Models

  1986influential reference
• Additive Regression and Other Nonparametric Models

  1985cited by this paper
• Estimation of a Multivariate Mode

  1978cited by this paper
• On Estimation of a Probability Density Function and Mode

  1962influential reference

• Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance

  2025cites this paper
• Interpretable Bilevel Additive Taylor Model for Datasets with Noisy Labels and Imbalanced Classes

  2025cites this paper