activity
20192026
most citedOn Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators

6 citations · 26 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

stat.ML2022

Federated X-Armed Bandit

Wenjie Li, Qifan Song, Jean Honorio +1

This work establishes the first framework of federated -armed bandit, where different clients face heterogeneous local objective functions defined on the same domain a…

stat.ML2022★ 1 cited

Federated Online Sparse Decision Making

Chi-Hua Wang, Wenjie Li, Guang Cheng +1

This paper presents a novel federated linear contextual bandits model, where individual clients face different K-armed stochastic bandits with high-dimensional decision context and…

stat.ML2022★ 5 cited

Interacting Contour Stochastic Gradient Langevin Dynamics

Wei Deng, Siqi Liang, Botao Hao +2

We propose an interacting contour stochastic gradient Langevin dynamics (ICSGLD) sampler, an embarrassingly parallel multiple-chain contour stochastic gradient Langevin dynamics (C…

math.NA2022★ 6 cited

DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories

Christian Moya, Shiqi Zhang, Meng Yue +1

This paper proposes a new data-driven method for the reliable prediction of power system post-fault trajectories. The proposed method is based on the fundamentally new concept of D…

cs.LG2022

glassoformer: a query-sparse transformer for post-fault power grid voltage prediction

Yunling Zheng, Carson Hu, Guang Lin +3

We propose GLassoformer, a novel and efficient transformer architecture leveraging group Lasso regularization to reduce the number of queries of the standard self-attention mechani…