← Core Methods
Machine Learning › Core Methods ›

Regression

4964 directly classified papers

Papers per year

Papers

On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016
Large Scale Online Kernel Learning JMLR 2016
Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016
Compressed Gaussian Process for Manifold Regression JMLR 2016
Structure-Leveraged Methods in Breast Cancer Risk Prediction JMLR 2016
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs JMLR 2016
Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes JMLR 2016
Convex Regression with Interpretable Sharp Partitions JMLR 2016
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016
Trend Filtering on Graphs JMLR 2016
Monotonic Calibrated Interpolated Look-Up Tables JMLR 2016
Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration JMLR 2016
The Constrained Dantzig Selector with Enhanced Consistency JMLR 2016
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes JMLR 2016
Learning Theory for Distribution Regression JMLR 2016
Speaker Age Classification and Regression Using i-Vectors INTERSPEECH 2016
The Teaching Dimension of Linear Learners JMLR 2016
Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016
Joint Structural Estimation of Multiple Graphical Models JMLR 2016
Stable Graphical Models JMLR 2016
Comparing Different Methods for Analyzing ERP Signals INTERSPEECH 2016
fastFM: A Library for Factorization Machines JMLR 2016
New Perspectives on k-Support and Cluster Norms JMLR 2016
Speech Emotion Recognition Using Affective Saliency INTERSPEECH 2016
Exemplar Dynamics in Phonetic Convergence of Speech Rate INTERSPEECH 2016