conftrace_

linear model

111 papers

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Co-occurring keywords · papers mentioning both

regret bound (9) feature selection (9) neural network (8) contextual bandit (6) generalization bound (6) causal inference (6) convergence rate (5) time series forecasting (5) causal discovery (5) online learning (5)

Papers

Dropout Training as Adaptive Regularization NeurIPS 2013 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 History-alignment models for bias-aware prediction of virological response to HIV combination therapy AISTATS 2012 Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012 DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model JMLR 2011 Trace Lasso: a trace norm regularization for correlated designs NeurIPS 2011 Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010 Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NeurIPS 2009 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003 Ranking a Random Feature for Variable and Feature Selection JMLR 2003