Davis--Kahan
PulseAugur coverage of Davis--Kahan — every cluster mentioning Davis--Kahan across labs, papers, and developer communities, ranked by signal.
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New Davis-Kahan Bound Enables Scalable Spectral Analysis for Large Matrices
Researchers have developed a new subsampled Davis-Kahan bound to improve the efficiency of spectral analysis for large-scale matrices. This method uses an independent Bernoulli sampling scheme to approximate the target …
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New bounds reveal geometric bias in spectral perturbation analysis
Researchers have developed new theoretical bounds for spectral perturbation analysis, specifically addressing matrices corrupted by sparse, random noise with heterogeneous variance profiles. Their work reveals a systema…
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New research links optimizer choice to reduced forgetting in LLM finetuning
Researchers have explored the impact of optimizer consistency during the fine-tuning of large language models. One study suggests that using the same optimizer for both pre-training and fine-tuning leads to less knowled…