| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Outline of Final Research Achievements |
Recently, the size of dataset is getting larger and larger in several areas. Moreover, such data often contains various structures. To deal with such a complicated and large data, we have focused on structured sparsity and developed new estimation methods and computational methods in a comprehensive manner. Specifically, we have proposed a new stochastic optimization method called stochastic alternating direction method of multipliers that work efficiently for structured regularization methods. We also studied so called tensor modeling and proposed some estimators that satisfy mini-max optimality. Through the above mentioned problems, we have studied theories and applications in a comprehensive manner.
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