58 citations · 117 across the 8 of their papers we have counts for
11 papers
CrowDEA: Multi-view Idea Prioritization with Crowds
Yukino Baba, Jiyi Li, Hisashi Kashima
Given a set of ideas collected from crowds with regard to an open-ended question, how can we organize and prioritize them in order to determine the preferred ones based on preferen…
Regret Minimization for Causal Inference on Large Treatment Space
Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi +1
Predicting which action (treatment) will lead to a better outcome is a central task in decision support systems. To build a prediction model in real situations, learning from biase…
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation
Shonosuke Harada, Hisashi Kashima
Individual treatment effect (ITE) represents the expected improvement in the outcome of taking a particular action to a particular target, and plays important roles in decision mak…
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato, Makoto Yamada, Hisashi Kashima
In this paper, from a theoretical perspective, we study how powerful graph neural networks (GNNs) can be for learning approximation algorithms for combinatorial problems. To this e…
Topological Bayesian Optimization with Persistence Diagrams
Tatsuya Shiraishi, Tam Le, Hisashi Kashima +1
Finding an optimal parameter of a black-box function is important for searching stable material structures and finding optimal neural network structures, and Bayesian optimization…
Learning to Sample Hard Instances for Graph Algorithms
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Hard instances, which require a long time for a specific algorithm to solve, help (1) analyze the algorithm for accelerating it and (2) build a good benchmark for evaluating the pe…