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24 Results

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Poster
Wed 9:00 Learning Sparse Gaussian Graphical Models with Overlapping Blocks
Mohammad Javad Hosseini · Su-In Lee
Poster
Mon 9:00 Finding significant combinations of features in the presence of categorical covariates
Laetitia Papaxanthos · Felipe Llinares-López · Dean Bodenham · Karsten Borgwardt
Oral
Wed 3:00 Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
Vladimir Golkov · Marcin Skwark · Antonij Golkov · Alexey Dosovitskiy · Thomas Brox · Jens Meiler · Daniel Cremers
Poster
Wed 9:00 Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
Vladimir Golkov · Marcin Skwark · Antonij Golkov · Alexey Dosovitskiy · Thomas Brox · Jens Meiler · Daniel Cremers
Poster
Tue 9:00 Multivariate tests of association based on univariate tests
Ruth Heller · Yair Heller
Poster
Wed 9:00 Unsupervised Learning from Noisy Networks with Applications to Hi-C Data
Bo Wang · Junjie Zhu · Armin Pourshafeie · Oana Ursu · Serafim Batzoglou · Anshul Kundaje
Poster
Wed 9:00 Kronecker Determinantal Point Processes
Zelda Mariet · Suvrit Sra
Poster
Tue 9:00 Reshaped Wirtinger Flow for Solving Quadratic System of Equations
Huishuai Zhang · Yingbin Liang
Poster
Tue 9:00 Deconvolving Feedback Loops in Recommender Systems
Ayan Sinha · David Gleich · Karthik Ramani
Poster
Tue 9:00 Optimal Tagging with Markov Chain Optimization
Nir Rosenfeld · Amir Globerson
Poster
Wed 9:00 Assortment Optimization Under the Mallows model
Antoine Desir · Vineet Goyal · Srikanth Jagabathula · Danny Segev
Poster
Wed 9:00 Spectral Learning of Dynamic Systems from Nonequilibrium Data
Hao Wu · Frank Noe