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Workshop
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Sat 2:00
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Invited Talk: Kernel-based Methods for Bandit Convex Optimization (Sébastien Bubeck, Microsoft Research)
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Poster
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Mon 9:00
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Convergence guarantees for kernel-based quadrature rules in misspecified settings
Motonobu Kanagawa · Bharath Sriperumbudur · Kenji Fukumizu
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Poster
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Wed 9:00
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Kernel Bayesian Inference with Posterior Regularization
Yang Song · Jun Zhu · Yong Ren
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Poster
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Mon 9:00
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Learning Kernels with Random Features
Aman Sinha · John Duchi
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Poster
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Mon 9:00
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On Robustness of Kernel Clustering
Bowei Yan · Purnamrita Sarkar
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Poster
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Mon 9:00
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Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis
Yoshinobu Kawahara
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Poster
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Mon 9:00
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Consistent Kernel Mean Estimation for Functions of Random Variables
Carl-Johann Simon-Gabriel · Adam Scibior · Ilya Tolstikhin · Bernhard Schölkopf
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Poster
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Wed 9:00
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Error Analysis of Generalized Nyström Kernel Regression
Hong Chen · Haifeng Xia · Heng Huang · Weidong Cai
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Poster
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Wed 9:00
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Kronecker Determinantal Point Processes
Zelda Mariet · Suvrit Sra
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Oral
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Thu 2:10
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Interpretable Distribution Features with Maximum Testing Power
Wittawat Jitkrittum · Zoltán Szabó · Kacper P Chwialkowski · Arthur Gretton
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Poster
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Tue 9:00
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Supervised Learning with Tensor Networks
Edwin M Stoudenmire · David Schwab
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Poster
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Tue 9:00
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Understanding Probabilistic Sparse Gaussian Process Approximations
Matthias Bauer · Mark van der Wilk · Carl Edward Rasmussen
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