2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan +1
Decision trees provide a rich family of highly non-linear but efficient models, due to which they continue to be the go-to family of predictive models by practitioners across domai…
cs.LG2020★ 1 cited
Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain +4
We formalize and study ``programming by rewards'' (PBR), a new approach for specifying and synthesizing subroutines for optimizing some quantitative metric such as performance, res…