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Regression

4964 directly classified papers

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Papers

Fast Active-set-type Algorithms for $l1$-regularized Linear Regression AISTATS 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010
Nonlinear functional regression: a functional RKHS approach AISTATS 2010
Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010
On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Learning To Count Objects in Images NIPS 2010
Fast detection of multiple change-points shared by many signals using group LARS NIPS 2010
The LASSO risk: asymptotic results and real world examples NIPS 2010
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models NIPS 2010
Multi-Stage Dantzig Selector NIPS 2010
Direct Loss Minimization for Structured Prediction NIPS 2010
Accounting for network effects in neuronal responses using L1 regularized point process models NIPS 2010
Parametric Bandits: The Generalized Linear Case NIPS 2010
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NIPS 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
A unified model of short-range and long-range motion perception NIPS 2010
Predictive State Temporal Difference Learning NIPS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Transduction with Matrix Completion: Three Birds with One Stone NIPS 2010
Optimal learning rates for Kernel Conjugate Gradient regression NIPS 2010
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NIPS 2010
t-logistic regression NIPS 2010