Osogami, Takayuki

25 publications

NeurIPS 2025 Optimal Estimation of the Best Mean in Multi-Armed Bandits Takayuki Osogami, Junya Honda, Junpei Komiyama

NeurIPS 2024 A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation Tomoya Sakai, Haoxiang Qiu, Takayuki Katsuki, Daiki Kimura, Takayuki Osogami, Tadanobu Inoue

IJCAI 2023 A Rigorous Risk-Aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning Alexander Zadorojniy, Takayuki Osogami, Orit Davidovich

ICML 2023 Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami

IJCAI 2023 Learning Efficient Truthful Mechanisms for Trading Networks Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash

ICML 2023 Regression with Sensor Data Containing Incomplete Observations Takayuki Katsuki, Takayuki Osogami

AAAI 2021 Second Order Techniques for Learning Time-Series with Structural Breaks Takayuki Osogami

AAAI 2020 Uncorrected Least-Squares Temporal Difference with Lambda-Return Takayuki Osogami

AAAI 2019 Determinantal Reinforcement Learning Takayuki Osogami, Rudy Raymond

ACML 2019 Real-Time Tree Search with Pessimistic Scenarios: Winning the NeurIPS 2018 Pommerman Competition Takayuki Osogami, Toshihiro Takahashi

AAAI 2018 Dynamic Determinantal Point Processes Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara

ICML 2017 Bidirectional Learning for Time-Series Models with Hidden Units Takayuki Osogami, Hiroshi Kajino, Taro Sekiyama

AAAI 2017 Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction Sakyasingha Dasgupta, Takayuki Osogami

AAAI 2016 A Deep Choice Model Makoto Otsuka, Takayuki Osogami

IJCAI 2016 Gated Probabilistic Matrix Factorization: Learning Users' Attention from Missing Values Shohei Ohsawa, Yachiko Obara, Takayuki Osogami

IJCAI 2016 Truncating Shortest Path Search for Efficient mAP-Matching Takashi Imamichi, Takayuki Osogami, Rudy Raymond

ICML 2015 Robust Partially Observable Markov Decision Process Takayuki Osogami

AAAI 2014 Mixing-Time Regularized Policy Gradient Tetsuro Morimura, Takayuki Osogami, Tomoyuki Shirai

NeurIPS 2014 Restricted Boltzmann Machines Modeling Human Choice Takayuki Osogami, Makoto Otsuka

IJCAI 2013 Improved Integer Programming Approaches for Chance-Constrained Stochastic Programming Hiroki Yanagisawa, Takayuki Osogami

NeurIPS 2013 Solving Inverse Problem of Markov Chain with Partial Observations Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Ide

IJCAI 2013 mAP Matching with Inverse Reinforcement Learning Takayuki Osogami, Rudy Raymond

NeurIPS 2012 Robustness and Risk-Sensitivity in Markov Decision Processes Takayuki Osogami

AAAI 2012 Time-Consistency of Optimization Problems Takayuki Osogami, Tetsuro Morimura

UAI 2011 Iterated Risk Measures for Risk-Sensitive Markov Decision Processes with Discounted Cost Takayuki Osogami