Nagarajan Natarajan

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent

2021 · arXiv (Cornell University)

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 domains. But learning trees is challenging due …

Distributional Semantics Meets Multi-Label Learning

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

We present a label embedding based approach to large-scale multi-label learning, drawing inspiration from ideas rooted in distributional semantics, specifically the Skip Gram Negative Sampling (SGNS) approach, widely used to learn word embeddings. Besides leading …