Search Results for author: Nevin Lianwen Zhang

Found 2 papers, 0 papers with code

Learning the Structure of Auto-Encoding Recommenders

no code implementations18 Aug 2020 Farhan Khawar, Leonard Kin Man Poon, Nevin Lianwen Zhang

In this paper, we introduce structure learning for autoencoder recommenders by taking advantage of the inherent item groups present in the collaborative filtering domain.

Collaborative Filtering

Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes

no code implementations6 Feb 2013 Anthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang

Most exact algorithms for general partially observable Markov decision processes (POMDPs) use a form of dynamic programming in which a piecewise-linear and convex representation of one value function is transformed into another.

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