Umeda, Yuhei

12 publications

ICML 2025 Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms Sho Takemori, Yuhei Umeda, Aditya Gopalan

AISTATS 2024 Model-Based Best Arm Identification for Decreasing Bandits Sho Takemori, Yuhei Umeda, Aditya Gopalan

UAI 2024 Quantum Kernelized Bandits Yasunari Hikima, Kazunori Murao, Sho Takemori, Yuhei Umeda

ICLR 2024 Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

WACV 2023 Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning So Hasegawa, Masayuki Hiromoto, Akira Nakagawa, Yuhei Umeda

ICMLW 2023 SelMix: Selective Mixup Fine Tuning for Optimizing Non-Decomposable Metrics Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

NeurIPS 2022 Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R

AISTATS 2021 ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning Martin Royer, Frederic Chazal, Clément Levrard, Yuhei Umeda, Yuichi Ike

ICML 2021 Optimizing Persistent Homology Based Functions Mathieu Carriere, Frederic Chazal, Marc Glisse, Yuichi Ike, Hariprasad Kannan, Yuhei Umeda

IJCAI 2021 Topological Uncertainty: Monitoring Trained Neural Networks Through Persistence of Activation Graphs Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda

NeurIPSW 2020 Application of Topological Data Analysis to Delirium Detection Mari Kajitani, Ken Kobayashi, Yuichi Ike, Takehiko Yamanashi, Yuhei Umeda, Yoshimasa Kadooka, Gen Shinozaki

AISTATS 2020 PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures Mathieu Carriere, Frederic Chazal, Yuichi Ike, Theo Lacombe, Martin Royer, Yuhei Umeda