29 citations · 48 across the 24 of their papers we have counts for
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cs.LG2025
SVRG and Beyond via Posterior Correction
Nico Daheim, Thomas Möllenhoff, Ming Liang Ang +1
Stochastic Variance Reduced Gradient (SVRG) and its variants aim to speed-up training by using gradient corrections. Originally proposed over a decade ago, these methods have never…
cs.LG2025
Improving LoRA with Variational Learning
Bai Cong, Nico Daheim, Yuesong Shen +3
Bayesian methods have recently been used to improve LoRA finetuning and, although they improve calibration, their effect on other metrics (such as accuracy) is marginal and can som…