Thompson Sampling and Approximate Inference

no code implementations • NeurIPS 2019 • My Phan, Yasin Abbasi Yadkori, Justin Domke

We study the effects of approximate inference on the performance of Thompson sampling in the $k$-armed bandit problems.

Decision Making Thompson Sampling

HONE: Higher-Order Network Embeddings

no code implementations • 28 Jan 2018 • Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi Yadkori

This paper describes a general framework for learning Higher-Order Network Embeddings (HONE) from graph data based on network motifs.