Kazuto Fukuchi | DeepAI

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Youhei Akimoto
34 publications
Jun Sakuma
33 publications
Takanori Maehara
32 publications
Satoshi Hara
20 publications
Chia-Mu Yu
19 publications
Kaiwen Xu
10 publications
Yoshiki Miyauchi
4 publications
Atsuo Maki
4 publications
Rei Sato
3 publications
Thien Q. Tran
3 publications
Atsuhiro Miyagi
3 publications

∙ 05/27/2023

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs

A concept-based classifier can explain the decision process of a deep le...

0 Kaiwen Xu, et al. ∙

∙ 03/28/2023

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and its Application to Berthing Control Tasks

In this study, we consider a continuous min–max optimization problem min...

0 Atsuhiro Miyagi, et al. ∙

∙ 01/31/2023

Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning

We investigate policy transfer using image-to-semantics translation to m...

0 Rei Sato, et al. ∙

∙ 11/29/2022

Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization

In this study, we consider simulation-based worst-case optimization prob...

0 Atsuhiro Miyagi, et al. ∙

∙ 11/07/2022

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification

In the field of reinforcement learning, because of the high cost and ris...

0 Takumi Tanabe, et al. ∙

∙ 09/26/2022

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations

Evolution strategy (ES) is one of promising classes of algorithms for bl...

0 Daiki Morinaga, et al. ∙

∙ 09/22/2022

CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy

In real-world applications of multi-class classification models, misclas...

22 Daiki Nishiyama, et al. ∙

∙ 06/23/2022

Minimax Optimal Fair Regression under Linear Model

We investigate the minimax optimal error of a fair regression problem un...

0 Kazuto Fukuchi, et al. ∙

∙ 04/06/2022

Black-Box Min–Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation

In this study, we investigate the problem of min-max continuous optimiza...

0 Atsuhiro Miyagi, et al. ∙

∙ 09/09/2021

Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation

We aim to explain a black-box classifier with the form: `data X is class...

0 Thien Q. Tran, et al. ∙

∙ 04/13/2021

Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution

Video game level generation based on machine learning (ML), in particula...

0 Takumi Tanabe, et al. ∙

∙ 03/02/2021

Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions

The (1+1)-evolution strategy (ES) with success-based step-size adaptatio...

0 Daiki Morinaga, et al. ∙

∙ 08/24/2020

Statistically Significant Pattern Mining with Ordinal Utility

Statistically significant patterns mining (SSPM) is an essential and cha...

0 Thien Q. Tran, et al. ∙

∙ 05/27/2019

Locally Differentially Private Minimum Finding

We investigate a problem of finding the minimum, in which each user has ...

0 Kazuto Fukuchi, et al. ∙

∙ 01/24/2019

Pretending Fair Decisions via Stealthily Biased Sampling

Fairness by decision-makers is believed to be auditable by third parties...

0 Kazuto Fukuchi, et al. ∙

∙ 11/28/2018

Minimax Optimal Additive Functional Estimation with Discrete Distribution

This paper addresses a problem of estimating an additive functional give...

0 Kazuto Fukuchi, et al. ∙

∙ 01/12/2018

Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case

This paper addresses an estimation problem of an additive functional of ...

0 Kazuto Fukuchi, et al. ∙

∙ 10/20/2017

Differentially Private Empirical Risk Minimization with Input Perturbation

We propose a novel framework for the differentially private ERM, input p...

0 Kazuto Fukuchi, et al. ∙

∙ 11/06/2015

Neutralized Empirical Risk Minimization with Generalization Neutrality Bound

Currently, machine learning plays an important role in the lives and ind...

0 Kazuto Fukuchi, et al. ∙

∙ 06/25/2015

Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences

Fairness-aware learning is a novel framework for classification tasks. L...

0 Kazuto Fukuchi, et al. ∙

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