Robust estimation with Lasso when outputs are adversarially contaminated. - Takeyuki Sasai; Hironori Fujisawa (CoRR, 2020)

Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion. - Takeyuki Sasai; Hironori Fujisawa (CoRR, 2020)

Estimating Total Traffic Volume with Statistical Modeling Approach. - Jiawei Yong; Yuichi Wakabayashi; Akihiro Okayasu; Reiji Miki; Takeyuki Sasai; Masaaki Inoue; Shintaro Fukushima (ITSC, 2022)

Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates. - Takeyuki Sasai (CoRR, 2022)

Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events. - Yuta Fukasawa; Yuho Yokoi; Kota Yamada; Takeyuki Sasai; Shintaro Fukushima (ITSC, 2023)

Estimating Reduction in Travel Time Based on Large Scale Driving Data from Connected Vehicles. - Yuta Fukasawa; Kota Yamada; Yoshinao Ishii; Takeyuki Sasai; Shintaro Fukushima (ITSC, 2024)

Network-Wide Traffic Volume Estimation Using Joint Matrix Factorization with Traffic Flow Conservation Law. - Yuma Taguchi; Yoshinao Ishii; Takeyuki Sasai; Shintaro Fukushima; Katsushi Sanda (ITSC, 2024)

Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers. - Takeyuki Sasai; Hironori Fujisawa (CoRR, 2024)