Keisuke Yano

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20242026

most citedOn robustness of Spectral RÃ©nyi divergence

1 citations · 1 across the 7 of their papers we have counts for

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stat.ML2026

From DPPs to $k$ -DPPs: identifiability analysis via spectral decomposition

Hideitsu Hino, Keisuke Yano

We study the geometry of determinantal point processes (DPPs) through the spectral decomposition $L = U I^ U^{⊤}$ . The spectrum $I^$ governs the cardinality distribution via element…

From DPPs to k-DPPs: identifiability analysis via spectral decomposition

From DPPs to $k$ -DPPs: identifiability analysis via spectral decomposition