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Regression

4964 directly classified papers

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Papers

Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Consistency of Robust Kernel Density Estimators COLT 2013
Aggregating Predictions via Sequential Mini-Trading ACML 2013
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty JMLR 2013
DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
Corrected-Moment Illuminant Estimation ICCV 2013
PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions CVPR 2013
Online Learning for Time Series Prediction COLT 2013
Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation CVPR 2013
Cumulative Attribute Space for Age and Crowd Density Estimation CVPR 2013
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
Firing rate predictions in optimal balanced networks NIPS 2013
One-shot learning and big data with n=2 NIPS 2013
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NIPS 2013
A New Convex Relaxation for Tensor Completion NIPS 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NIPS 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013
Inverse Density as an Inverse Problem: the Fredholm Equation Approach NIPS 2013