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Poster
Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #13
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
Wei Deng · Xiao Zhang · Faming Liang · Guang Lin
Poster
Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #14
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
XIA XIAO · Zigeng Wang · Sanguthevar Rajasekaran
Poster
Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #15
Constraint-based Causal Structure Learning with Consistent Separating Sets
Honghao Li · Vincent Cabeli · Nadir Sella · Herve Isambert
Poster
Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #16
Fast structure learning with modular regularization
Greg Ver Steeg · Hrayr Harutyunyan · Daniel Moyer · Aram Galstyan
Poster
Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #17
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
Zhiyong Yang · Qianqian Xu · Yangbangyan Jiang · Xiaochun Cao · Qingming Huang
Poster
Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #18
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
Zihan Li · Matthias Fresacher · Jonathan Scarlett
Poster
Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #19
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
Chris Russell · Matteo Toso · Neill Campbell