Algorithms · Model Selection and Structure Learning

TitleAuthors
An Adaptive Empirical Bayesian Method for Sparse Deep LearningWei Deng · Xiao Zhang · Faming Liang · Guang Lin
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary ParametersXIA XIAO · Zigeng Wang · Sanguthevar Rajasekaran
Constraint-based Causal Structure Learning with Consistent Separating SetsHonghao Li · Vincent Cabeli · Nadir Sella · Herve Isambert
Fast structure learning with modular regularizationGreg Ver Steeg · Hrayr Harutyunyan · Daniel Moyer · Aram Galstyan
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative TransferZhiyong Yang · Qianqian Xu · Yangbangyan Jiang · Xiaochun Cao · Qingming Huang
Learning Erdos-Renyi Random Graphs via Edge Detecting QueriesZihan Li · Matthias Fresacher · Jonathan Scarlett
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy FunctionsChris Russell · Matteo Toso · Neill Campbell