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cs.LG2021★ 1 cited
On Preference Learning Based on Sequential Bayesian Optimization with Pairwise Comparison
Tanya Ignatenko, Kirill Kondrashov, Marco Cox +1
User preference learning is generally a hard problem. Individual preferences are typically unknown even to users themselves, while the space of choices is infinite. Here we study u…
cs.LG2018★ 46 cited
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms
Marco Cox, Thijs van de Laar, Bert de Vries
The benefits of automating design cycles for Bayesian inference-based algorithms are becoming increasingly recognized by the machine learning community. As a result, interest in pr…