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Poster
Thu 10:45 Invert to Learn to Invert
Patrick Putzky · Max Welling
Poster
Thu 17:00 Fast Sparse Group Lasso
Yasutoshi Ida · Yasuhiro Fujiwara · Hisashi Kashima
Poster
Thu 17:00 Global Guarantees for Blind Demodulation with Generative Priors
Paul Hand · Babhru Joshi
Poster
Thu 17:00 Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
Arindam Banerjee · Qilong Gu · Vidyashankar Sivakumar · Steven Wu
Poster
Thu 17:00 Universality in Learning from Linear Measurements
Ehsan Abbasi · Fariborz Salehi · Babak Hassibi
Poster
Tue 10:45 Learning-Based Low-Rank Approximations
Piotr Indyk · Ali Vakilian · Yang Yuan
Poster
Thu 17:00 Rethinking the CSC Model for Natural Images
Dror Simon · Michael Elad
Poster
Tue 10:45 k-Means Clustering of Lines for Big Data
Yair Marom · Dan Feldman
Poster
Thu 17:00 Learning step sizes for unfolded sparse coding
Pierre Ablin · Thomas Moreau · Mathurin Massias · Alexandre Gramfort
Poster
Thu 17:00 Surfing: Iterative Optimization Over Incrementally Trained Deep Networks
Ganlin Song · Zhou Fan · John Lafferty
Poster
Thu 17:00 Inverting Deep Generative models, One layer at a time
Qi Lei · Ajil Jalal · Inderjit Dhillon · Alex Dimakis
Poster
Thu 17:00 Sample Complexity of Learning Mixture of Sparse Linear Regressions
Akshay Krishnamurthy · Arya Mazumdar · Andrew McGregor · Soumyabrata Pal