
On Random Subsampling of Gaussian Process Regression: A GraphonBased Analysis
In this paper, we study random subsampling of Gaussian process regressio...
01/28/2019 ∙ by Kohei Hayashi, et al. ∙ 16 ∙ shareread it

Spectral Norm Regularization for Improving the Generalizability of Deep Learning
We investigate the generalizability of deep learning based on the sensit...
05/31/2017 ∙ by Yuichi Yoshida, et al. ∙ 0 ∙ shareread it

Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent
In this paper, we propose a novel sufficient decrease technique for vari...
03/20/2017 ∙ by Fanhua Shang, et al. ∙ 0 ∙ shareread it

Minimizing Quadratic Functions in Constant Time
A samplingbased optimization method for quadratic functions is proposed...
08/25/2016 ∙ by Kohei Hayashi, et al. ∙ 0 ∙ shareread it

Using kway Cooccurrences for Learning Word Embeddings
Cooccurrences between two words provide useful insights into the semant...
09/05/2017 ∙ by Danushka Bollegala, et al. ∙ 0 ∙ shareread it

Learning Word Representations from Relational Graphs
Attributes of words and relations between two words are central to numer...
12/07/2014 ∙ by Danushka Bollegala, et al. ∙ 0 ∙ shareread it

Spectral Normalization for Generative Adversarial Networks
One of the challenges in the study of generative adversarial networks is...
02/16/2018 ∙ by Takeru Miyato, et al. ∙ 0 ∙ shareread it

Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization
In this paper, we propose a novel sufficient decrease technique for stoc...
02/26/2018 ∙ by Fanhua Shang, et al. ∙ 0 ∙ shareread it

PolynomialTime Algorithms for Submodular Laplacian Systems
Let G=(V,E) be an undirected graph, L_G∈R^V × V be the associated Laplac...
03/29/2018 ∙ by Kaito Fujii, et al. ∙ 0 ∙ shareread it

SublinearTime Quadratic Minimization via Spectral Decomposition of Matrices
We design a sublineartime approximation algorithm for quadratic functio...
06/27/2018 ∙ by Amit Levi, et al. ∙ 0 ∙ shareread it

Canonical and Compact Point Cloud Representation for Shape Classification
We present a novel compact point cloud representation that is inherently...
09/13/2018 ∙ by Kent Fujiwara, et al. ∙ 0 ∙ shareread it

Spectral Sparsification of Hypergraphs
For an undirected/directed hypergraph G=(V,E), its Laplacian L_GR^V→R^V ...
07/13/2018 ∙ by Tasuku Soma, et al. ∙ 0 ∙ shareread it

Finding Cheeger Cuts in Hypergraphs via Heat Equation
Cheeger's inequality states that a tightly connected subset can be extra...
09/12/2018 ∙ by Masahiro Ikeda, et al. ∙ 0 ∙ shareread it

Limits of Ordered Graphs and Images
The emerging theory of graph limits exhibits an interesting analytic per...
11/05/2018 ∙ by Omri BenEliezer, et al. ∙ 0 ∙ shareread it

Average Sensitivity of Graph Algorithms
In modern applications of graphs algorithms, where the graphs of interes...
04/05/2019 ∙ by Nithin Varma, et al. ∙ 0 ∙ shareread it

DistributionFree Testing of Linear Functions on R^n
We study the problem of testing whether a function f:R^n>R is linear (i...
09/08/2019 ∙ by Noah Fleming, et al. ∙ 0 ∙ shareread it
Yuichi Yoshida
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