Spike-and-slab variable selection
PulseAugur coverage of Spike-and-slab variable selection — every cluster mentioning Spike-and-slab variable selection across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New SQS method achieves high DNN compression via Bayesian learning · 2 sources tracked
Researchers have developed a new method called SQS for compressing large neural networks, enabling their deployment on devices with limited resources. This unified framework simultaneously performs weight pruning and lo…
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LLM Sparsity Prior improves feature selection robustness
Researchers have developed a new method called LLM Sparsity Prior (LSP) to improve feature selection in high-dimensional datasets using large language models. LSP addresses the sensitivity of existing LLM-informed metho…
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Bayesian methods outperform classical sparse regression in prediction and uncertainty
A new benchmark study evaluated six sparse regression methods, comparing classical approaches like Lasso with Bayesian techniques such as Horseshoe and Spike-and-Slab. The research found that Bayesian methods generally …