10 citations · 24 across the 7 of their papers we have counts for
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stat.ML2024
Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
Zixuan Wang, Stanley Wei, Daniel Hsu +1
The transformer architecture has prevailed in various deep learning settings due to its exceptional capabilities to select and compose structural information. Motivated by these ca…
stat.ML2016★ 3 cited
Black-box Importance Sampling
Qiang Liu, Jason D. Lee
Importance sampling is widely used in machine learning and statistics, but its power is limited by the restriction of using simple proposals for which the importance weights can be…