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Poster
Wed 17:00 Model Selection for Contextual Bandits
Dylan Foster · Akshay Krishnamurthy · Haipeng Luo
Poster
Tue 10:45 Conditional Independence Testing using Generative Adversarial Networks
Alexis Bellot · Mihaela van der Schaar
Poster
Wed 10:45 Direct Estimation of Differential Functional Graphical Models
Boxin Zhao · Y. Samuel Wang · Mladen Kolar
Poster
Wed 10:45 AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
XIA XIAO · Zigeng Wang · Sanguthevar Rajasekaran
Poster
Thu 17:00 Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou · Daniel Coelho de Castro · Konstantinos Kamnitsas · Ben Glocker
Spotlight
Wed 16:10 Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio · Shao-Hua Sun · Hexiang Hu · Joseph Lim
Poster
Wed 10:45 Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Rohekar · Yaniv Gurwicz · Shami Nisimov · Gal Novik
Poster
Wed 10:45 Fast structure learning with modular regularization
Greg Ver Steeg · Hrayr Harutyunyan · Daniel Moyer · Aram Galstyan
Poster
Wed 10:45 Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
Chris Russell · Matteo Toso · Neill Campbell
Poster
Wed 10:45 Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng · Song Xi Chen
Poster
Wed 10:45 Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
Zhiyong Yang · Qianqian Xu · Yangbangyan Jiang · Xiaochun Cao · Qingming Huang
Poster
Tue 17:30 Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Dominik Linzner · Michael Schmidt · Heinz Koeppl