Shusen Wang
29 papers · 2012–2024 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Shusen Wang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zhihua Zhang, Xiang Li, Wenhao Yang
12 papers
· 2012–2022
· JMLR, AISTATS, ICML
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Federated Reinforcement Learning with Environment Heterogeneity
AISTATS 2022
Communication-Efficient Distributed SVD via Local Power Iterations
ICML 2021
Do Subsampled Newton Methods Work for High-Dimensional Data?
AAAI 2020
On the Convergence of FedAvg on Non-IID Data
ICLR 2020
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions
JMLR 2016
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
JMLR 2016
Efficient Algorithms and Error Analysis for the Modified Nystrom Method
AISTATS 2014
Making Fisher Discriminant Analysis Scalable
ICML 2014
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling
JMLR 2013
Nonconvex Relaxation Approaches to Robust Matrix Recovery
IJCAI 2013
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
NeurIPS 2012
EP-GIG Priors and Applications in Bayesian Sparse Learning
JMLR 2012
5 papers whose co-authors appear nowhere else under this name
Learning by Interpreting
IJCAI 2022
Matrix Sketching for Secure Collaborative Machine Learning
ICML 2021
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression
AAAI 2019
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap
ICML 2018
Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach
IJCAI 2015