185 citations · 945 across the 83 of their papers we have counts for
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stat.ML2014
Convergence rate of Bayesian tensor estimator: Optimal rate without restricted strong convexity
Taiji Suzuki
In this paper, we investigate the statistical convergence rate of a Bayesian low-rank tensor estimator. Our problem setting is the regression problem where a tensor structure under…
math.ST2014
Spectral norm of random tensors
Ryota Tomioka, Taiji Suzuki
We show that the spectral norm of a random tensor (or higher-order array) scales as under…
stat.ML2014★ 5 cited
Support Consistency of Direct Sparse-Change Learning in Markov Networks
Song Liu, Taiji Suzuki, Raissa Relator +3
We study the problem of learning sparse structure changes between two Markov networks and . Rather than fitting two Markov networks separately to two sets of data and figuri…