223 citations · 513 across the 11 of their papers we have counts for
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cs.LG2022
Local Policy Improvement for Recommender Systems
Dawen Liang, Nikos Vlassis
Recommender systems predict what items a user will interact with next, based on their past interactions. The problem is often approached through supervised learning, but recent adv…
cs.LG2019
Learning Correlated Latent Representations with Adaptive Priors
Da Tang, Dawen Liang, Nicholas Ruozzi +1
Variational Auto-Encoders (VAEs) have been widely applied for learning compact, low-dimensional latent representations of high-dimensional data. When the correlation structure amon…
cs.LG2019★ 9 cited
Correlated Variational Auto-Encoders
Da Tang, Dawen Liang, Tony Jebara +1
Variational Auto-Encoders (VAEs) are capable of learning latent representations for high dimensional data. However, due to the i.i.d. assumption, VAEs only optimize the singleton v…