462 citations · 4.5k across the 108 of their papers we have counts for
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cs.LG2026
Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach
Vasily Bokov, Sebastian Schmitt, Vedran Dunjko +1
In practice, various learning scenarios provide access to auxiliary features exclusively during training. Incorporating such data to enhance model performance gave rise to a paradi…
cs.LG2019★ 16 cited
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder +2
In recent years, the interest in leveraging quantum effects for enhancing machine learning tasks has significantly increased. Many algorithms speeding up supervised and unsupervise…