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29 Results
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Poster
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Mon 18:30 |
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Chris Metzler · Ali Mousavi · Richard Baraniuk |
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Poster
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Mon 18:30 |
Learning ReLUs via Gradient Descent Mahdi Soltanolkotabi |
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Poster
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Mon 18:30 |
Subset Selection and Summarization in Sequential Data Ehsan Elhamifar · M. Clara De Paolis Kaluza |
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Poster
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Tue 18:30 |
Near Optimal Sketching of Low-Rank Tensor Regression Xingguo Li · Jarvis Haupt · David Woodruff |
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Poster
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Wed 18:30 |
From Bayesian Sparsity to Gated Recurrent Nets Hao He · Bo Xin · Satoshi Ikehata · David Wipf |
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Poster
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Wed 18:30 |
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex Chaobing Song · Shaobo Cui · Yong Jiang · Shu-Tao Xia |
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Poster
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Tue 18:30 |
Convolutional Phase Retrieval Qing Qu · Yuqian Zhang · Yonina Eldar · John Wright |
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Poster
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Tue 18:30 |
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods Veeranjaneyulu Sadhanala · Yu-Xiang Wang · James Sharpnack · Ryan Tibshirani |
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Poster
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Mon 18:30 |
Parametric Simplex Method for Sparse Learning Haotian Pang · Han Liu · Robert J Vanderbei · Tuo Zhao |
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Poster
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Mon 18:30 |
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval Gauri Jagatap · Chinmay Hegde |
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Poster
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Tue 18:30 |
Consistent Robust Regression Kush Bhatia · Prateek Jain · Parameswaran Kamalaruban · Purushottam Kar |
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Poster
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Wed 18:30 |
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien |