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Poster
Tue 9:00 Coresets for Scalable Bayesian Logistic Regression
Jonathan Huggins · Trevor Campbell · Tamara Broderick
Poster
Tue 9:00 Mapping Estimation for Discrete Optimal Transport
Michaël Perrot · Nicolas Courty · Rémi Flamary · Amaury Habrard
Poster
Tue 9:00 Joint quantile regression in vector-valued RKHSs
Maxime Sangnier · Olivier Fercoq · Florence d'Alché-Buc
Poster
Tue 9:00 GAP Safe Screening Rules for Sparse-Group Lasso
Eugene Ndiaye · Olivier Fercoq · Alexandre Gramfort · Joseph Salmon
Poster
Tue 9:00 Identification and Overidentification of Linear Structural Equation Models
Bryant Chen
Poster
Tue 9:00 Fast Active Set Methods for Online Spike Inference from Calcium Imaging
Johannes Friedrich · Liam Paninski
Poster
Tue 9:00 Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
Dogyoon Song · Christina Lee · Yihua Li · Devavrat Shah
Poster
Mon 9:00 A Bandit Framework for Strategic Regression
Yang Liu · Yiling Chen
Poster
Mon 9:00 Deep Learning Models of the Retinal Response to Natural Scenes
Lane McIntosh · Niru Maheswaranathan · Aran Nayebi · Surya Ganguli · Stephen Baccus
Poster
Mon 9:00 DECOrrelated feature space partitioning for distributed sparse regression
Xiangyu Wang · David B Dunson · Chenlei Leng
Poster
Mon 9:00 Scaled Least Squares Estimator for GLMs in Large-Scale Problems
Murat Erdogdu · Lee H Dicker · Mohsen Bayati
Poster
Mon 9:00 The Limits of Learning with Missing Data
Brian Bullins · Elad Hazan · Tomer Koren