3 citations · 3 across the 15 of their papers we have counts for
5 papers · 1 filter
Towards a Statistical Understanding of Mixture-of-Experts
Siyuan He, Bokai Yang, Jie Hu +2
Mixture-of-experts (MoE) architectures increase model capacity by combining a collection of expert predictors through input-dependent routing, while often activating only a small s…
Multi-Armed Bandits with Arriving Arms: Sequential Screening, Dynamic Regret, and Sublinear Guarantees
Deqi Zheng, Xiaoyang Xu, Yuhong Yang
We study a stochastic multi-armed bandit problem in which the set of available arms expands over time. This setting arises in sequential experimentation when new actions or treatme…
On damage of interpolation to adversarial robustness in regression
Jingfu Peng, Yuhong Yang
Deep neural networks (DNNs) typically involve a large number of parameters and are trained to achieve zero or near-zero training error. Despite such interpolation, they often exhib…
Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
Jingfu Peng, Yuhong Yang
Despite tremendous advancements of machine learning models and algorithms in various application domains, they are known to be vulnerable to subtle, natural or intentionally crafte…
Additive-Effect Assisted Learning
Jiawei Zhang, Yuhong Yang, Jie Ding
It is quite popular nowadays for researchers and data analysts holding different datasets to seek assistance from each other to enhance their modeling performance. We consider a sc…