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A supervised generative optimization approach for tabular data
Synthetic data generation has emerged as a crucial topic for financial i...
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Differentially Private Synthetic Data Using KD-Trees
Creation of a synthetic dataset that faithfully represents the data dist...
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Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe
Hawkes processes have recently risen to the forefront of tools when it c...
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Online Learning for Mixture of Multivariate Hawkes Processes
Online learning of Hawkes processes has received increasing attention in...
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Differentially Private Learning of Hawkes Processes
Hawkes processes have recently gained increasing attention from the mach...
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Bandit Sampling for Multiplex Networks
Graph neural networks have gained prominence due to their excellent perf...
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Graph Belief Propagation Networks
With the wide-spread availability of complex relational data, semi-super...
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Goal recognition via model-based and model-free techniques
Goal recognition aims at predicting human intentions from a trace of obs...
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Heuristics for Link Prediction in Multiplex Networks
Link prediction, or the inference of future or missing connections betwe...
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