Kernel Flows: from learning kernels from data into the abyss

13 August 2018

Papers citing "Kernel Flows: from learning kernels from data into the abyss"

17 / 17 papers shown

Title
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 92 8 0 30 Jun 2024
How Deep Are Deep Gaussian Processes? Matthew M. Dunlop Mark Girolami Andrew M. Stuart A. Teckentrup GP 29 131 0 30 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 69 8,807 0 25 Aug 2017
Universal Scalable Robust Solvers from Computational Information Games and fast eigenspace adapted Multiresolution Analysis H. Owhadi C. Scovel 26 28 0 31 Mar 2017
Learning with Hierarchical Gaussian Kernels Ingo Steinwart P. Thomann Nico Schmid 56 17 0 02 Dec 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 215 4,612 0 10 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 512 36,599 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 474 5,868 0 08 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 901 192,638 0 10 Dec 2015
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 140 882 0 06 Nov 2015
Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games H. Owhadi 28 168 0 11 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 316 149,474 0 22 Dec 2014
Qualitative Robustness in Bayesian Inference H. Owhadi C. Scovel 63 26 0 14 Nov 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 83 14,831 1 21 Dec 2013
On the Brittleness of Bayesian Inference H. Owhadi C. Scovel T. Sullivan 58 68 0 28 Aug 2013
Brittleness of Bayesian inference and new Selberg formulas H. Owhadi C. Scovel 55 28 0 26 Apr 2013
Brittleness of Bayesian Inference Under Finite Information in a Continuous World H. Owhadi C. Scovel T. Sullivan 65 58 0 24 Apr 2013