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stat.ML2011★ 475 cited
Bayesian Active Learning for Classification and Preference Learning
Neil Houlsby, Ferenc Huszár, Zoubin Ghahramani +1
Information theoretic active learning has been widely studied for probabilistic models. For simple regression an optimal myopic policy is easily tractable. However, for other tasks…
quant-ph2011★ 175 cited
Adaptive Bayesian Quantum Tomography
Ferenc Huszár, Neil M. T. Houlsby
In this letter we revisit the problem of optimal design of quantum tomographic experiments. In contrast to previous approaches where an optimal set of measurements is decided in ad…