conftrace_

linear model

94 papers

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Co-occurring keywords

regret bound (1926) feature selection (649) tree-based model (33) neural network (6616) generalization bound (652) causal inference (1630) contextual bandit (381) causal discovery (460) online learning (1777) implicit bia (107)

Papers

Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016
Analyzing the Relation Between Overall Quality and the Quality of Individual Phases in a Telephone Conversation INTERSPEECH 2016
Sparsistency of \ell_1-Regularized M-Estimators AISTATS 2015
Partition-wise Linear Models NIPS 2014
On Multilabel Classification and Ranking with Bandit Feedback JMLR 2014
(Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014
Generalized Dantzig Selector: Application to the k-support norm NIPS 2014
Dropout Training as Adaptive Regularization NIPS 2013
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies ACML 2013
History-alignment models for bias-aware prediction of virological response to HIV combination therapy AISTATS 2012
Fused sparsity and robust estimation for linear models with unknown variance NIPS 2012
Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model JMLR 2011
Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NIPS 2009
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Ranking a Random Feature for Variable and Feature Selection JMLR 2003
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003