9 citations · 23 across the 9 of their papers we have counts for
4 papers · 1 filter
Unlearning Graph Classifiers with Limited Data Resources
Chao Pan, Eli Chien, Olgica Milenkovic
As the demand for user privacy grows, controlled data removal (machine unlearning) is becoming an important feature of machine learning models for data-sensitive Web applications s…
On the Study of Sample Complexity for Polynomial Neural Networks
Chao Pan, Chuanyi Zhang
As a general type of machine learning approach, artificial neural networks have established state-of-art benchmarks in many pattern recognition and data analysis tasks. Among vario…
Certified Graph Unlearning
Eli Chien, Chao Pan, Olgica Milenkovic
Graph-structured data is ubiquitous in practice and often processed using graph neural networks (GNNs). With the adoption of recent laws ensuring the ``right to be forgotten'', the…
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces
Chao Pan, Eli Chien, Puoya Tabaghi +2
Many high-dimensional practical data sets have hierarchical structures induced by graphs or time series. Such data sets are hard to process in Euclidean spaces and one often seeks…