
Data Cleansing for Models Trained with SGD
Data cleansing is a typical approach used to improve the accuracy of mac...
06/20/2019 ∙ by Satoshi Hara, et al. ∙ 3 ∙ shareread it

On Tensor Train Rank Minimization: Statistical Efficiency and Scalable Algorithm
Tensor train (TT) decomposition provides a spaceefficient representatio...
08/01/2017 ∙ by Masaaki Imaizumi, et al. ∙ 0 ∙ shareread it

Finding Alternate Features in Lasso
We propose a method for finding alternate features missing in the Lasso ...
11/18/2016 ∙ by Satoshi Hara, et al. ∙ 0 ∙ shareread it

Joint Word Representation Learning using a Corpus and a Semantic Lexicon
Methods for learning word representations using large text corpora have ...
11/19/2015 ∙ by Danushka Bollegala, et al. ∙ 0 ∙ shareread it

Embedding Semantic Relations into Word Representations
Learning representations for semantic relations is important for various...
05/01/2015 ∙ 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

ClassiNet  Predicting Missing Features for ShortText Classification
The fundamental problem in shorttext classification is feature sparsene...
04/14/2018 ∙ by Danushka Bollegala, et al. ∙ 0 ∙ shareread it

Neural Photometric Stereo Reconstruction for General Reflectance Surfaces
We present a novel convolutional neural network architecture for photome...
02/28/2018 ∙ by Tatsunori Taniai, et al. ∙ 0 ∙ shareread it

Maximally Invariant Data Perturbation as Explanation
While several feature scoring methods are proposed to explain the output...
06/19/2018 ∙ by Satoshi Hara, et al. ∙ 0 ∙ shareread it

Subspace Selection via DRSubmodular Maximization on Lattices
The subspace selection problem seeks a subspace that maximizes an object...
05/18/2018 ∙ by So Nakashima, et al. ∙ 0 ∙ shareread it

Algorithmic MetaTheorems for Monotone Submodular Maximization
We consider a monotone submodular maximization problem whose constraint ...
07/12/2018 ∙ by Masakazu Ishihata, et al. ∙ 0 ∙ shareread it

Linear PseudoPolynomial Factor Algorithm for Automaton Constrained Tree Knapsack Problem
The automaton constrained tree knapsack problem is a variant of the knap...
07/13/2018 ∙ by Soh Kumabe, et al. ∙ 0 ∙ shareread it

Submodular Stochastic Probing with Prices
We introduce Stochastic Probing with Prices (SPP), a variant of the Stoc...
10/03/2018 ∙ by Ben Chugg, et al. ∙ 0 ∙ shareread it

Convex Hull Approximation of Nearly Optimal Lasso Solutions
In an ordinary feature selection procedure, a set of important features ...
10/14/2018 ∙ by Satoshi Hara, et al. ∙ 0 ∙ shareread it

A Simple Way to Deal with Cherrypicking
Statistical hypothesis testing serves as statistical evidence for scient...
10/11/2018 ∙ by Junpei Komiyama, et al. ∙ 0 ∙ shareread it

Pretending Fair Decisions via Stealthily Biased Sampling
Fairness by decisionmakers is believed to be auditable by third parties...
01/24/2019 ∙ by Kazuto Fukuchi, et al. ∙ 0 ∙ shareread it

Optimal Algorithm to Reconstruct a Tree from a Subtree Distance
This paper addresses the problem of finding a representation of a subtre...
02/23/2019 ∙ by Takanori Maehara, et al. ∙ 0 ∙ shareread it

Incorrect implementations of the FloydWarshall algorithm give correct solutions after three repeats
The FloydWarshall algorithm is a wellknown algorithm for the allpair...
04/02/2019 ∙ by Ikumi Hide, et al. ∙ 0 ∙ shareread it

Revisiting Graph Neural Networks: All We Have is LowPass Filters
Graph neural networks have become one of the most important techniques t...
05/23/2019 ∙ by Hoang NT, et al. ∙ 0 ∙ shareread it

rGather Clustering and rGathering on Spider: FPT Algorithms and Hardness
We consider minmax rgather clustering problem and minmax rgathering ...
07/09/2019 ∙ by Soh Kumabe, et al. ∙ 0 ∙ shareread it

PTAS and Exact Algorithms for rGathering Problems on Tree
rgathering problem is a variant of facility location problems. In this ...
07/09/2019 ∙ by Soh Kumabe, et al. ∙ 0 ∙ shareread it

Stochastic Monotone Submodular Maximization with Queries
We study a stochastic variant of monotone submodular maximization proble...
07/09/2019 ∙ by Takanori Maehara, et al. ∙ 0 ∙ shareread it

Multiple KnapsackConstrained Monotone DRSubmodular Maximization on Distributive Lattice  Continuous Greedy Algorithm on Median Complex 
We consider a problem of maximizing a monotone DRsubmodular function un...
07/09/2019 ∙ by Takanori Maehara, et al. ∙ 0 ∙ shareread it

Empirical Hypothesis Space Reduction
Selecting appropriate regularization coefficients is critical to perform...
09/04/2019 ∙ by Akihiro Yabe, et al. ∙ 0 ∙ shareread it

A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks
We present a simple proof for the universality of invariant and equivari...
10/09/2019 ∙ by Takanori Maehara, et al. ∙ 0 ∙ shareread it
Takanori Maehara
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