arXiv stat.ML
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E$^2$M: Double Bounded $alpha$-Divergence Optimization for Tensor-based Discrete Density Estimation
arXiv:2405.18220v4 Announce Type: replace Abstract: Tensor-based discrete density estimation requires flexible modeling and proper divergence criteria to enable effective learning; however, traditional approaches using $alpha$-divergence face analytical challenges due to the $alpha$-power terms in the objective funct