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stat.ML2024
A Stein Gradient Descent Approach for Doubly Intractable Distributions
Heesang Lee, Songhee Kim, Bokgyeong Kang +1
Bayesian inference for doubly intractable distributions is challenging because they include intractable terms, which are functions of parameters of interest. Although several alter…
cs.DS2024
Finding Most Shattering Minimum Vertex Cuts of Polylogarithmic Size in Near-Linear Time
Kevin Hua, Daniel Li, Jaewoo Park +1
We show the first near-linear time randomized algorithms for listing all minimum vertex cuts of polylogarithmic size that separate the graph into at least three connected component…