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Yue Xiang

2 accepted papers

2023

Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation

AISTATS 2023poster

Gradients have been exploited in proposal distributions to accelerate the convergence of Markov chain Monte Carlo algorithms on discrete distributions. However, these methods require a natural differentiable extension of the target discrete distribution, which often does not exist or does not provid…

2023

Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression

AAAI 2023technical

Real-world graphs like social networks are often evolutionary over time, whose observations at different timestamps lead to graph sequences. Modeling such evolutionary graphs is important for many applications, but solving this problem often requires the correspondence between the graphs at differen…

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