activity
20192022
most citedDistributed Stochastic Gradient Descent Using LDGM Codes

8 citations · 9 across the 7 of their papers we have counts for

collaborators

5 papers

stat.ME20211 cited

Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions

Shunsuke Horii

In the estimation of the causal effect under linear Structural Causal Models (SCMs), it is common practice to first identify the causal structure, estimate the probability distribu…

cs.IT2020

Improved Computation-Communication Trade-Off for Coded Distributed Computing using Linear Dependence of Intermediate Values

Shunsuke Horii

In large scale distributed computing systems, communication overhead is one of the major bottlenecks. In the map-shuffle-reduce framework, which is one of the major distributed com…

cs.IT2019

Proceedings of the 11th Asia-Europe Workshop on Concepts in Information Theory

A. J. Han Vinck, Kees A. Schouhamer Immink, Tadashi Wadayama +24

This year, 2019 we celebrate 30 years of our friendship between Asian and European scientists at the AEW11 in Rotterdam, the Netherlands. Many of the 1989 participants are also pre…

stat.ME2019

A Note on the Estimation Method of Intervention Effects based on Statistical Decision Theory

Shunsuke Horii, Tota Suko

In this paper, we deal with the problem of estimating the intervention effect in the statistical causal analysis using the structural equation model and the causal diagram. The int…

cs.IT20198 cited

Distributed Stochastic Gradient Descent Using LDGM Codes

Shunsuke Horii, Takahiro Yoshida, Manabu Kobayashi +1

We consider a distributed learning problem in which the computation is carried out on a system consisting of a master node and multiple worker nodes. In such systems, the existence…