1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AR2021★ 1 cited
Accelerating Markov Random Field Inference with Uncertainty Quantification
Ramin Bashizade, Xiangyu Zhang, Sayan Mukherjee +1
Statistical machine learning has widespread application in various domains. These methods include probabilistic algorithms, such as Markov Chain Monte-Carlo (MCMC), which rely on g…
eess.SP2020
Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators
Xiangyu Zhang, Ramin Bashizade, Yicheng Wang +3
Statistical machine learning often uses probabilistic algorithms, such as Markov Chain Monte Carlo (MCMC), to solve a wide range of problems. Probabilistic computations, often cons…