128 citations · 261 across the 12 of their papers we have counts for
3 papers · 1 filter
Interpretability via Model Extraction
Osbert Bastani, Carolyn Kim, Hamsa Bastani
The ability to interpret machine learning models has become increasingly important now that machine learning is used to inform consequential decisions. We propose an approach calle…
Interpreting Blackbox Models via Model Extraction
Osbert Bastani, Carolyn Kim, Hamsa Bastani
Interpretability has become incredibly important as machine learning is increasingly used to inform consequential decisions. We propose to construct global explanations of complex,…
Mostly Exploration-Free Algorithms for Contextual Bandits
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
The contextual bandit literature has traditionally focused on algorithms that address the exploration-exploitation tradeoff. In particular, greedy algorithms that exploit current e…