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Poster
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Tue 18:30
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BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou · Minghao Yang · Jun Wang · Wei Pan
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Poster
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Wed 18:30
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Deep Compressed Sensing
Yan Wu · Mihaela Rosca · Timothy Lillicrap
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Poster
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Wed 18:30
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Improved Convergence for ℓ1 and ℓ∞ Regression via Iteratively Reweighted Least Squares
Alina Ene · Adrian Vladu
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Poster
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Thu 18:30
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Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou · Feng Chen · Yiming Ying
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Poster
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Wed 18:30
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On the statistical rate of nonlinear recovery in generative models with heavy-tailed data
Xiaohan Wei · Zhuoran Yang · Zhaoran Wang
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Poster
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Wed 18:30
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Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data
Vatsal Sharan · Kai Sheng Tai · Peter Bailis · Gregory Valiant
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Poster
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Wed 18:30
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Efficient Dictionary Learning with Gradient Descent
Dar Gilboa · Sam Buchanan · John Wright
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Poster
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Thu 18:30
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Recursive Sketches for Modular Deep Learning
Badih Ghazi · Rina Panigrahy · Joshua R. Wang
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Poster
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Wed 18:30
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Trimming the ℓ1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
Jihun Yun · Peng Zheng · Eunho Yang · Aurelie Lozano · Aleksandr Aravkin
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Poster
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Tue 18:30
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Blended Conditonal Gradients
Gábor Braun · Sebastian Pokutta · Dan Tu · Stephen Wright
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Poster
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Tue 18:30
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Variational Inference for sparse network reconstruction from count data
Julien Chiquet · Stephane Robin · Mahendra Mariadassou
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Poster
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Wed 18:30
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Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
Michael Metel · Akiko Takeda
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