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Regression

4964 directly classified papers

Papers per year

Papers

Self-paced Mixture of Regressions IJCAI 2017
Fast Recursive Low-rank Tensor Learning for Regression IJCAI 2017
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017
Locally Linear Factorization Machines IJCAI 2017
Learning User Dependencies for Recommendation IJCAI 2017
Compressed Nonparametric Language Modelling IJCAI 2017
Student-t Process Regression with Student-t Likelihood IJCAI 2017
Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017
Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines IJCAI 2017
Robust Regression via Heuristic Hard Thresholding IJCAI 2017
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing IJCAI 2017
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017
Communication-efficient Sparse Regression JMLR 2017
Identifying a Minimal Class of Models for High--dimensional Data JMLR 2017
Certifiably Optimal Low Rank Factor Analysis JMLR 2017
Group Sparse Optimization via lp,q Regularization JMLR 2017
Learning Local Dependence In Ordered Data JMLR 2017
Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality JMLR 2017
Distributed Semi-supervised Learning with Kernel Ridge Regression JMLR 2017
Hierarchically Compositional Kernels for Scalable Nonparametric Learning JMLR 2017
Sharp Oracle Inequalities for Square Root Regularization JMLR 2017
Bayesian Tensor Regression JMLR 2017
Distributed Learning with Regularized Least Squares JMLR 2017
Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression JMLR 2017