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Talk
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Tue 23:42 |
Nyström Method with Kernel K-means++ Samples as Landmarks Dino Oglic · Thomas Gaertner |
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Poster
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Wed 1:30 |
Nyström Method with Kernel K-means++ Samples as Landmarks Dino Oglic · Thomas Gaertner |
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Poster
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Tue 18:30 |
Scalable Learning in Reproducing Kernel Krein Spaces Dino Oglic · Thomas Gaertner |
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Poster
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Tue 18:30 |
Towards a Unified Analysis of Random Fourier Features Zhu Li · Jean-Francois Ton · Dino Oglic · Dino Sejdinovic |
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Poster
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Tue 18:30 |
Bayesian Deconditional Kernel Mean Embeddings Kelvin Hsu · Fabio Ramos |
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Poster
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Tue 18:30 |
Learning deep kernels for exponential family densities Li Kevin Wenliang · D.J. Sutherland · Heiko Strathmann · Arthur Gretton |
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Poster
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Tue 18:30 |
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension Jisu Kim · Jaehyeok Shin · Alessandro Rinaldo · Larry Wasserman |
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Poster
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Tue 18:30 |
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates George Chen |
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Poster
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Tue 18:30 |
A Persistent Weisfeiler--Lehman Procedure for Graph Classification Bastian Rieck · Christian Bock · Karsten Borgwardt |
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Poster
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Tue 18:30 |
Particle Flow Bayes' Rule Xinshi Chen · Hanjun Dai · Le Song |
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Poster
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Tue 18:30 |
Large-Scale Sparse Kernel Canonical Correlation Analysis Viivi Uurtio · Sahely Bhadra · Juho Rousu |
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Poster
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Tue 18:30 |
Rehashing Kernel Evaluation in High Dimensions Paris Siminelakis · Kexin Rong · Peter Bailis · Moses Charikar · Philip Levis |