217 citations · 224 across the 5 of their papers we have counts for
5 papers
Multilevel Control Functional
Kaiyu Li, Yiming Yang, Xiaoyuan Cheng +2
Control variates are variance reduction techniques for Monte Carlo estimators. They play a critical role in improving Monte Carlo estimators in scientific and machine learning appl…
Meta-learning Control Variates: Variance Reduction with Limited Data
Zhuo Sun, Chris J. Oates, François-Xavier Briol
Control variates can be a powerful tool to reduce the variance of Monte Carlo estimators, but constructing effective control variates can be challenging when the number of samples…
Vector-Valued Control Variates
Zhuo Sun, Alessandro Barp, François-Xavier Briol
Control variates are variance reduction tools for Monte Carlo estimators. They can provide significant variance reduction, but usually require a large number of samples, which can…
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Xiaoxu Li, Jijie Wu, Zhuo Sun +3
Few-shot learning for fine-grained image classification has gained recent attention in computer vision. Among the approaches for few-shot learning, due to the simplicity and effect…
A Concise Review of Recent Few-shot Meta-learning Methods
Xiaoxu Li, Zhuo Sun, Jing-Hao Xue +1
Few-shot meta-learning has been recently reviving with expectations to mimic humanity's fast adaption to new concepts based on prior knowledge. In this short communication, we give…