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stat.ML2026
Combinatorial Sparse PCA Beyond the Spiked Identity Model
Syamantak Kumar, Purnamrita Sarkar, Kevin Tian +1
Sparse PCA is one of the most well-studied problems in high-dimensional statistics. In this problem, we are given samples from a distribution with covariance , whose top eigenve…
stat.ML2025
Spike-and-Slab Posterior Sampling in High Dimensions
Syamantak Kumar, Purnamrita Sarkar, Kevin Tian +1
Posterior sampling with the spike-and-slab prior [MB88], a popular multimodal distribution used to model uncertainty in variable selection, is considered the theoretical gold stand…