9 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 9 cited
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
Martin Mladenov, Chih-Wei Hsu, Vihan Jain +7
The development of recommender systems that optimize multi-turn interaction with users, and model the interactions of different agents (e.g., users, content providers, vendors) in…
cs.DC2019★ 8 cited
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters
Kun Yang, Yi-Fan Chen, Georgios Roumpos +2
Large-scale deep learning benefits from an emerging class of AI accelerators. Some of these accelerators' designs are general enough for compute-intensive applications beyond AI an…