16 citations · 21 across the 2 of their papers we have counts for
2 papers
stat.ML2021★ 5 cited
Transfer Learning with Gaussian Processes for Bayesian Optimization
Petru Tighineanu, Kathrin Skubch, Paul Baireuther +3
Bayesian optimization is a powerful paradigm to optimize black-box functions based on scarce and noisy data. Its data efficiency can be further improved by transfer learning from r…
cs.HC2018★ 16 cited
Wearable affect and stress recognition: A review
Philip Schmidt, Attila Reiss, Robert Duerichen +1
Affect recognition aims to detect a person's affective state based on observables, with the goal to e.g. provide reasoning for decision making or support mental wellbeing. Recently…