14 citations · 23 across the 10 of their papers we have counts for
3 papers · 1 filter
Extragradient Type Methods for Riemannian Variational Inequality Problems
Zihao Hu, Guanghui Wang, Xi Wang +3
Riemannian convex optimization and minimax optimization have recently drawn considerable attention. Their appeal lies in their capacity to adeptly manage the non-convexity of the o…
On a Class of Gibbs Sampling over Networks
Bo Yuan, Jiaojiao Fan, Jiaming Liang +2
We consider the sampling problem from a composite distribution whose potential (negative log density) is $\sum_{i=1}^n f_i(x_i)+\sum_{j=1}^m g_j(y_j)+\sum_{i=1}^n\sum_{j=1}^m\frac{…
Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks
Ketaki Joshi, Raghavendra Pradyumna Pothukuchi, Andre Wibisono +1
Continual learning on sequential data is critical for many machine learning (ML) deployments. Unfortunately, LSTM networks, which are commonly used to learn on sequential data, suf…