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20162024
most citedEstimating Gradients for Discrete Random Variables by Sampling without Replacement

16 citations · 41 across the 11 of their papers we have counts for

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stat.ML2019★ 1 cited

Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales

Sanjay Thakur, Herke Van Hoof, Gunshi Gupta +1

Neural Network based controllers hold enormous potential to learn complex, high-dimensional functions. However, they are prone to overfitting and unwarranted extrapolations. PAC Ba…

stat.ML2016

Policy Search with High-Dimensional Context Variables

Voot Tangkaratt, Herke van Hoof, Simone Parisi +3

Direct contextual policy search methods learn to improve policy parameters and simultaneously generalize these parameters to different context or task variables. However, learning…