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27 Results
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Poster
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Tue 9:00 |
Disentangling Trainability and Generalization in Deep Neural Networks Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz |
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Poster
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Wed 16:00 |
Non-separable Non-stationary random fields Kangrui Wang · Oliver Hamelijnck · Theodoros Damoulas · Mark Steel |
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Poster
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Thu 12:00 |
Neural Kernels Without Tangents Vaishaal Shankar · Alex Fang · Wenshuo Guo · Sara Fridovich-Keil · Jonathan Ragan-Kelley · Ludwig Schmidt · Benjamin Recht |
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Poster
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Tue 14:00 |
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling David Woodruff · Amir Zandieh |
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Poster
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Thu 6:00 |
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data Tamara Fernandez · Arthur Gretton · Nicolas Rivera · Wenkai Xu |
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Poster
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Thu 6:00 |
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon · Abdulkadir Canatar · Cengiz Pehlevan |
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Poster
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Thu 13:00 |
Kernel interpolation with continuous volume sampling Ayoub Belhadji · Rémi Bardenet · Pierre Chainais |
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Poster
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Thu 6:00 |
Estimation of Bounds on Potential Outcomes For Decision Making Maggie Makar · Fredrik Johansson · John Guttag · David Sontag |
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Poster
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Thu 13:00 |
Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen · Laurent Jacob · Julien Mairal |
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Poster
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Tue 11:00 |
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland |
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Poster
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Tue 9:00 |
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features Liang Ding · Rui Tuo · Shahin Shahrampour |
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Poster
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Tue 13:00 |
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses Pierre Laforgue · Alex Lambert · Luc Brogat-Motte · Florence d'Alche-Buc |