450 citations · 1.2k across the 59 of their papers we have counts for
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Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling
Ryoma Sato, Makoto Yamada, Hisashi Kashima
The research process includes many decisions, e.g., how to entitle and where to publish the paper. In this paper, we introduce a general framework for investigating the effects of…
Approximating 1-Wasserstein Distance with Trees
Makoto Yamada, Yuki Takezawa, Ryoma Sato +3
Wasserstein distance, which measures the discrepancy between distributions, shows efficacy in various types of natural language processing (NLP) and computer vision (CV) applicatio…
Feature Selection for Discovering Distributional Treatment Effect Modifiers
Yoichi Chikahara, Makoto Yamada, Hisashi Kashima
Finding the features relevant to the difference in treatment effects is essential to unveil the underlying causal mechanisms. Existing methods seek such features by measuring how g…
Communication Compression for Decentralized Learning with Operator Splitting Methods
Yuki Takezawa, Kenta Niwa, Makoto Yamada
In decentralized learning, operator splitting methods using a primal-dual formulation (e.g., the Edge-Consensus Learning (ECL)) has been shown to be robust to heterogeneous data an…
Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization
Yuki Takezawa, Kenta Niwa, Makoto Yamada
In recent years, decentralized learning has emerged as a powerful tool not only for large-scale machine learning, but also for preserving privacy. One of the key challenges in dece…