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11 Results

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Poster
Wed 18:30 Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
Mohammad Ali Bashiri · Xinhua Zhang
Poster
Mon 18:30 SGD Learns the Conjugate Kernel Class of the Network
Amit Daniely
Poster
Mon 18:30 Parametric Simplex Method for Sparse Learning
Haotian Pang · Han Liu · Robert J Vanderbei · Tuo Zhao
Poster
Tue 18:30 Diving into the shallows: a computational perspective on large-scale shallow learning
SIYUAN MA · Mikhail Belkin
Oral
Wed 14:50 The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C Wilson · Becca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
Poster
Wed 18:30 The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C Wilson · Becca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
Poster
Mon 18:30 SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks
Kyuhong Shim · Minjae Lee · Iksoo Choi · Yoonho Boo · Wonyong Sung
Poster
Mon 18:30 Max-Margin Invariant Features from Transformed Unlabelled Data
Dipan Pal · Ashwin Kannan · Gautam Arakalgud · Marios Savvides
Poster
Mon 18:30 FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi · Luigi Carratino · Lorenzo Rosasco
Poster
Wed 18:30 The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang · Yue Lu
Poster
Tue 18:30 A Linear-Time Kernel Goodness-of-Fit Test
Wittawat Jitkrittum · Wenkai Xu · Zoltan Szabo · Kenji Fukumizu · Arthur Gretton