Kim, Hideaki

13 publications

AAAI 2025 A Continuous-Time Tractable Model for Present-Biased Agents Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
ICML 2025 K$^2$IE: Kernel Method-Based Kernel Intensity Estimators for Inhomogeneous Poisson Processes Hideaki Kim, Tomoharu Iwata, Akinori Fujino
NeurIPS 2024 Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions Hideaki Kim
AAAI 2023 An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami
MLJ 2023 MAP Inference Algorithms Without Approximation for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
NeurIPS 2023 Survival Permanental Processes for Survival Analysis with Time-Varying Covariates Hideaki Kim
NeurIPS 2022 Fast Bayesian Estimation of Point Process Intensity as Function of Covariates Hideaki Kim, Taichi Asami, Hiroyuki Toda
IJCAI 2022 Online Matching with Controllable Rewards and Arrival Probabilities Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim
NeurIPS 2021 Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation Hideaki Kim
AAAI 2021 Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-Cost Flow Optimization Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
NeurIPS 2021 Non-Approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
AAAI 2017 Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda
IJCAI 2017 SVD-Based Screening for the Graphical Lasso Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda