30 citations · 60 across the 14 of their papers we have counts for
4 papers · 1 filter
Designing Robust Transformers using Robust Kernel Density Estimation
Xing Han, Tongzheng Ren, Tan Minh Nguyen +3
Recent advances in Transformer architectures have empowered their empirical success in a variety of tasks across different domains. However, existing works mainly focus on predicti…
Split Localized Conformal Prediction
Xing Han, Ziyang Tang, Joydeep Ghosh +1
Conformal prediction is a simple and powerful tool that can quantify uncertainty without any distributional assumptions. Many existing methods only address the average coverage gua…
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering
Xing Han, Tongzheng Ren, Jing Hu +2
We propose a novel approach to the problem of clustering hierarchically aggregated time-series data, which has remained an understudied problem though it has several commercial app…
Architecture Agnostic Federated Learning for Neural Networks
Disha Makhija, Xing Han, Nhat Ho +1
With growing concerns regarding data privacy and rapid increase in data volume, Federated Learning(FL) has become an important learning paradigm. However, jointly learning a deep n…