16 citations · 39 across the 6 of their papers we have counts for
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cs.LG2019★ 2 cited
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis
Joseph Gatto, Ravi Lanka, Yumi Iwashita +1
Have you ever wondered how your feature space is impacting the prediction of a specific sample in your dataset? In this paper, we introduce Single Sample Feature Importance (SSFI),…
cs.LG2019★ 3 cited
Co-training for Policy Learning
Jialin Song, Ravi Lanka, Yisong Yue +1
We study the problem of learning sequential decision-making policies in settings with multiple state-action representations. Such settings naturally arise in many domains, such as…
cs.LG2018★ 16 cited
Learning to Search via Retrospective Imitation
Jialin Song, Ravi Lanka, Albert Zhao +3
We study the problem of learning a good search policy for combinatorial search spaces. We propose retrospective imitation learning, which, after initial training by an expert, impr…