Zobrazeno 1 - 10
of 11 704
pro vyhledávání: '"So Fukasawa"'
Autor:
Fukasawa, Takeshi
This study proposes a simple procedure to compute Efficient Pseudo Likelihood (EPL) estimator proposed by Dearing and Blevins (2024) for estimating dynamic discrete games, without computing Jacobians of equilibrium constraints. EPL estimator is effic
Externí odkaz:
http://arxiv.org/abs/2410.20029
Autor:
Maeda, Koki, Hirasawa, Tosho, Hashimoto, Atsushi, Harashima, Jun, Rybicki, Leszek, Fukasawa, Yusuke, Ushiku, Yoshitaka
Procedural video understanding is gaining attention in the vision and language community. Deep learning-based video analysis requires extensive data. Consequently, existing works often use web videos as training resources, making it challenging to qu
Externí odkaz:
http://arxiv.org/abs/2408.02272
Autor:
Weninger, Noah, Fukasawa, Ricardo
In the minimum spanning tree (MST) interdiction problem, we are given a graph $G=(V,E)$ with edge weights, and want to find some $X\subseteq E$ satisfying a knapsack constraint such that the MST weight in $(V,E\setminus X)$ is maximized. Since MSTs o
Externí odkaz:
http://arxiv.org/abs/2407.14906
Autor:
Fukasawa, Takeshi
This study proposes the Value Function-Policy Gradient Iteration-Spectral (VF-PGI-Spectral) algorithm, which efficiently solves discrete-time infinite-horizon dynamic models with continuous actions. It combines the spectral algorithm to accelerate co
Externí odkaz:
http://arxiv.org/abs/2407.04227
Autor:
Kitadai, Ayato, Lugo, Sinndy Dayana Rico, Tsurusaki, Yudai, Fukasawa, Yusuke, Nishino, Nariaki
Economic experiments offer a controlled setting for researchers to observe human decision-making and test diverse theories and hypotheses; however, substantial costs and efforts are incurred to gather many individuals as experimental participants. To
Externí odkaz:
http://arxiv.org/abs/2406.11426
Autor:
Li, W. H., Bartnik, A. C., Fukasawa, A., Kaemingk, M., Lawler, G., Majernik, N., Rosenzweig, J. B., Maxson, J. M.
Achieving maximum electron beam brightness in photoinjectors requires detailed control of the 3D bunch shape and precise tuning of the beam focusing. Even in state-of-the-art designs, slice emittance growth due to nonlinear space charge forces and pa
Externí odkaz:
http://arxiv.org/abs/2404.06312
Autor:
Fukasawa, Takeshi
This study investigates computationally efficient inner-loop algorithms for estimating static/dynamic BLP models. It provides the following ideas to reduce the number of inner-loop iterations: (1). Add a term concerning the outside option share in th
Externí odkaz:
http://arxiv.org/abs/2404.04494
Prior work on multilingual sentence embedding has demonstrated that the efficient use of natural language inference (NLI) data to build high-performance models can outperform conventional methods. However, the potential benefits from the recent ``exp
Externí odkaz:
http://arxiv.org/abs/2403.17528
Publikováno v:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:13545-13569, 2024
We introduce an optimization-based reconstruction attack capable of completely or near-completely reconstructing a dataset utilized for training a random forest. Notably, our approach relies solely on information readily available in commonly used li
Externí odkaz:
http://arxiv.org/abs/2402.19232
High-throughput screening using cell images is an efficient method for screening new candidates for pharmaceutical drugs. To complete the screening process, it is essential to have an efficient process for analyzing cell images. This paper presents a
Externí odkaz:
http://arxiv.org/abs/2402.17310