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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…
eess.SP2019
A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
Xiangyu Zhang, Sayan Mukherjee, Alvin R. Lebeck
Statistical machine learning often uses probabilistic algorithms, such as Markov Chain Monte Carlo (MCMC), to solve a wide range of problems. Many accelerators are proposed using s…