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Two-stage Algorithm for Fairness-aware Machine Learning
Algorithmic decision making process now affects many aspects of our live...
10/13/2017 ∙ by Junpei Komiyama, et al. ∙
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Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm
We study the K-armed dueling bandit problem, a variation of the standard...
05/05/2016 ∙ by Junpei Komiyama, et al. ∙
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Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
Partial monitoring is a general model for sequential learning with limit...
09/30/2015 ∙ by Junpei Komiyama, et al. ∙
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Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
We study the K-armed dueling bandit problem, a variation of the standard...
06/08/2015 ∙ by Junpei Komiyama, et al. ∙
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Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
We discuss a multiple-play multi-armed bandit (MAB) problem in which sev...
06/02/2015 ∙ by Junpei Komiyama, et al. ∙
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Comparing Fairness Criteria Based on Social Outcome
Fairness in algorithmic decision-making processes is attracting increasi...
06/13/2018 ∙ by Junpei Komiyama, et al. ∙
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Cross Validation Based Model Selection via Generalized Method of Moments
Structural estimation is an important methodology in empirical economics...
07/18/2018 ∙ by Junpei Komiyama, et al. ∙
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A Simple Way to Deal with Cherry-picking
Statistical hypothesis testing serves as statistical evidence for scient...
10/11/2018 ∙ by Junpei Komiyama, et al. ∙
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A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy
Stock return predictability is an important research theme as it reflect...
10/02/2019 ∙ by Kei Nakagawa, et al. ∙
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