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20042022
most citedFeUdal Networks for Hierarchical Reinforcement Learning

252 citations

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3 papers · 1 filter

stat.ML2017★ 122 cited

Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking

Gabriele Tolomei, Fabrizio Silvestri, Andrew Haines +1

Machine-learned models are often described as "black boxes". In many real-world applications however, models may have to sacrifice predictive power in favour of human-interpretabil…

stat.ML2016★ 6 cited

Improved Strongly Adaptive Online Learning using Coin Betting

Kwang-Sung Jun, Francesco Orabona, Rebecca Willett +1

This paper describes a new parameter-free online learning algorithm for changing environments. In comparing against algorithms with the same time complexity as ours, we obtain a st…

stat.ML2014★ 2 cited

Consistent Collective Matrix Completion under Joint Low Rank Structure

Suriya Gunasekar, Makoto Yamada, Dawei Yin +1

We address the collective matrix completion problem of jointly recovering a collection of matrices with shared structure from partial (and potentially noisy) observations. To ensur…