979 citations · 1.5k across the 30 of their papers we have counts for
14 papers · 1 filter
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint
Ziang Yan, Shusen Wang, Guorui Zhou +2
Online platforms often incentivize consumers to improve user engagement and platform revenue. Since different consumers might respond differently to incentives, individual-level bu…
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin, Yang Peng, Wenhao Yang +2
We study a Federated Reinforcement Learning (FedRL) problem in which agents collaboratively learn a single policy without sharing the trajectories they collected during agent-e…
Fast Generalized Matrix Regression with Applications in Machine Learning
Haishan Ye, Shusen Wang, Zhihua Zhang +1
Fast matrix algorithms have become the fundamental tools of machine learning in big data era. The generalized matrix regression problem is widely used in the matrix approximation s…
Matrix Sketching for Secure Collaborative Machine Learning
Mengjiao Zhang, Shusen Wang
Collaborative learning allows participants to jointly train a model without data sharing. To update the model parameters, the central server broadcasts model parameters to the clie…
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm
Youzuo Lin, Shusen Wang, Jayaraman Thiagarajan +2
Conventional seismic techniques for detecting the subsurface geologic features are challenged by limited data coverage, computational inefficiency, and subjective human factors. We…
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Farbod Roosta-Khorasani, Peng Xu +1
For distributed computing environment, we consider the empirical risk minimization problem and propose a distributed and communication-efficient Newton-type optimization method. At…