Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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20 results for Takayuki Osogami

Second Order Techniques for Learning Time-Series with Structural Breaks
- - Takayuki Osogami
- 2021
- AAAI 2021
Uncorrected least-squares temporal difference with lambda-return
- - Takayuki Osogami
- 2020
- AAAI 2020
A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning
- - Alexander Zadorojniy
  - Takayuki Osogami
  - et al.
- 2023
- IJCAI 2023
Learning Efficient Truthful Mechanisms for Trading Networks
- - Takayuki Osogami
  - Segev Wasserkrug
  - et al.
- 2023
- IJCAI 2023
Regression with Sensor Data Containing Incomplete Observations
- - Takayuki Katsuki
  - Takayuki Osogami
- 2023
- ICML 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
- - Hiroshi Kajino
  - Kohei Miyaguchi
  - et al.
- 2023
- ICML 2023
Determinantal reinforcement learning
- - Takayuki Osogami
  - Rudy Raymond
- 2019
- AAAI 2019
Dynamic determinantal point processes
- - Takayuki Osogami
  - Rudy Raymond
  - et al.
- 2018
- AAAI 2018
Bidirectional learning for time-series models with hidden units
- - Takayuki Osogami
  - Hiroshi Kajino
  - et al.
- 2017
- ICML 2017
Nonlinear dynamic boltzmann machines for time-series prediction
- - Sakyasingha Dasgupta
  - Takayuki Osogami
- 2017
- AAAI 2017