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cs.LG2023★ 2 cited
Calibrating the Rigged Lottery: Making All Tickets Reliable
Bowen Lei, Ruqi Zhang, Dongkuan Xu +1
Although sparse training has been successfully used in various resource-limited deep learning tasks to save memory, accelerate training, and reduce inference time, the reliability…
cs.LG2023
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation
Yue Xiang, Dongyao Zhu, Bowen Lei +2
Gradients have been exploited in proposal distributions to accelerate the convergence of Markov chain Monte Carlo algorithms on discrete distributions. However, these methods requi…