Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1802.09127/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTDeep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling — mentioned by indescions_2018https://news.ycombinator.com/item?id=17012283urn:hackerpapers:mention:1802.09127:17012283Mon, 07 May 2018 12:51:44 GMT<p>Nice writeup! Why do we love bandit problems? Not only the efficacy with which agents can minimize exploration and maximize rewards in unknown worlds. But also the emergent philosophical truths that arise concerning causality! Remains very much an active research topic. With applications ranging from epidemiology, to website optimization ;) CS7792 - Counterfactual Machine Learning, T. Joachims, Cornell University http://www.cs.cornell.edu/courses/cs7792/2016fa/ Deep Bayesian Bandits Showdown - Google Brain https://arxiv.org/pdf/1802.09127.pdf</p><p><a href="https://hackerpaper.kaipfister.de/p/1802.09127/">Paper and discussion history</a>. A mention is not an endorsement.</p>stat.ML