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04/26/2023
Regression with Sensor Data Containing Incomplete Observations
This paper addresses a regression problem in which output label values a...
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08/19/2022
Mechanism Learning for Trading Networks
We study the problem of designing mechanisms for trading networks that s...
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07/08/2022
Online Learning in Supply-Chain Games
We study a repeated game between a supplier and a retailer who want to m...
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01/28/2022
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology
We are interested in in silico evaluation methodology for molecular opti...
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12/15/2020
Proofs and additional experiments on Second order techniques for learning time-series with structural breaks
We provide complete proofs of the lemmas about the properties of the reg...
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11/14/2019
Supplementary material for Uncorrected least-squares temporal difference with lambda-return
Here, we provide a supplementary material for Takayuki Osogami, "Uncorre...
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07/02/2019
Visual analytics for team-based invasion sports with significant events and Markov reward process
In team-based invasion sports such as soccer and basketball, analytics i...
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02/28/2019
Real-time tree search with pessimistic scenarios
Autonomous agents need to make decisions in a sequential manner, under p...
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12/06/2018
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps
This paper proposes a method for modeling event sequences with ambiguous...
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12/17/2017
Dynamic Boltzmann Machines for Second Order Moments and Generalized Gaussian Distributions
Dynamic Boltzmann Machine (DyBM) has been shown highly efficient to pred...
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08/20/2017
Boltzmann machines and energy-based models
We review Boltzmann machines and energy-based models. A Boltzmann machin...
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08/20/2017
Boltzmann machines for time-series
We review Boltzmann machines extended for time-series. These models ofte...
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12/15/2016
Learning binary or real-valued time-series via spike-timing dependent plasticity
A dynamic Boltzmann machine (DyBM) has been proposed as a model of a spi...
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09/22/2016
Regularized Dynamic Boltzmann Machine with Delay Pruning for Unsupervised Learning of Temporal Sequences
We introduce Delay Pruning, a simple yet powerful technique to regulariz...
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09/29/2015
Learning dynamic Boltzmann machines with spike-timing dependent plasticity
We propose a particularly structured Boltzmann machine, which we refer t...
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02/14/2012
