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Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees
Free accessSpringer Verlag | 2012| -
ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages
Free accessArXiv | 2016| -
Design and Analysis of Dynamic Processes: A Stochastic Approach (Invited Paper)
Springer Verlag | 2002| -
Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE
Free accessArXiv | 2020| -
How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics?
Free accessArXiv | 2020| -
Probabilistic Methods in the Design and Analysis of Algorithms (Dagstuhl Seminar 17141)
Free accessBASE | 2017| -
Probabilistic Methods in the Design and Analysis of Algorithms (Dagstuhl Seminar 17141)
Free accessBASE | 2017| -
Wiggins: Detecting Valuable Information in Dynamic Networks Using Limited Resources
Free accessArXiv | 2015| -
On the theory of interconnection networks for parallel computers
National licenceSpringer Verlag | 1994| -
Tiered Sampling: An Efficient Method for Approximate Counting Sparse Motifs in Massive Graph Streams
Free accessArXiv | 2017| -
Brain Functional Connectivity Estimation Utilizing Diffusion Kernels on a Structural Connectivity Graph
Free accessArXiv | 2021| -
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
Free accessArXiv | 2021|
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