Masahiro Kohjima

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Markov Processes

Matrix Factorization

Reinforcement Learning

Decision Processes

Top Venues

UbiComp/ISWC Adjunct

Publications

Wakana Oshiro, Masahiro Kohjima, Haruno Kataoka, Masanori Yokoyama, Yuta Nambu, Motohiro Makiguchi, Rika Mochizuki, Ryuji Yamamoto
Evaluation of Virtual Audience Synchronized with Cheering Motion of the User's Light Stick During Music Concerts. HCI (62) (2024)
Masahiro Kohjima
Shuffled Deep Regression. AAAI (2024)
Masahiro Kohjima
On The Equivalence Of Dynamic Mode Decomposition And Complex Nonnegative Matrix Factorization. ICASSP (2024)
Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
Inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition Data. PAKDD (2) (2023)
Masahiro Kohjima
Latent Neural Phase Model for Synchronization Analysis. IJCNN (2023)
Masahiro Kohjima
Mixture of Linear Additive Markov Processes: A Probabilistic Model for Joint Clustering and History-Dependent Transition Estimation. WI/IAT (2022)
Masahiro Kohjima, Yuta Nambu, Yuki Kurauchi, Ryuji Yamamoto
General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data. ICONIP (1) (2022)
Masahiro Kohjima
Uncoupled Nonnegative Matrix Factorization with Pairwise Comparison Data. ICTIR (2022)
Masahiro Kohjima
Polya Decision Processes: A New History-Dependent Framework for Reinforcement Learning. CDC (2022)
Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. AAAI (2021)
Noriko Yokoyama, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
Parallel Sequential Random Embedding Bayesian Optimization. SN Comput. Sci. 2 (1) (2021)
Masami Takahashi, Masahiro Kohjima, Ryo Hashimoto, Asuka Miyake, Takeshi Kurashima, Hiroyuki Toda
Effects of Intervening Backwards from Goals to Improve Sleep Habits. UbiComp/ISWC Adjunct (2021)
Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, Hiroyuki Toda
Price and Time Optimization for Utility-Aware Taxi Dispatching. PRICAI (1) (2021)
Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
Can Reinforcement Learning Lead to Healthy Life?: Simulation Study Based on User Activity Logs. ICPR (2020)
Masahiro Kohjima, Masami Takahashi, Hiroyuki Toda
Censored Markov Decision Processes: A Framework for Safe Reinforcement Learning in Collaboration with External Systems. CDC (2020)
Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data. IJCAI (2020)
Noriko Yokoyama, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
Efficient Bayesian Optimization Based on Parallel Sequential Random Embeddings. ACPR (1) (2019)
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
Generalized Interval Valued Nonnegative Matrix Factorization. ICASSP (2019)
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis. IEICE Trans. Inf. Syst. (4) (2019)
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
Exemplar Based Mixture Models with Censored Data. ACML (2019)
Masami Takahashi, Masahiro Kohjima, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda
Identifying self-changeable actions toward regulating rhythm of daily life. UbiComp/ISWC Adjunct (2019)
Hiroshi Kiyotake, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
Multi Agent Flow Estimation Based on Bayesian Optimization with Time Delay and Low Dimensional Parameter Conversion. PRIMA (2018)
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
Variational Bayes for Mixture Models with Censored Data. ECML/PKDD (2) (2018)
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
Generalized Inverse Reinforcement Learning with Linearly Solvable MDP. ECML/PKDD (2) (2017)
Masahiro Kohjima, Sumio Watanabe
Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization. ICANN (2) (2017)
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
What-If Prediction via Inverse Reinforcement Learning. FLAIRS Conference (2017)
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences. ICPR (2016)
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
Probabilistic Non-negative Inconsistent-resolution Matrices Factorization. CIKM (2015)
Aki Hayashi, Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada
Regularity Measure and Influence Weight for Analysis and Visualization of Consumer's Attitude. IV (2015)