Sanjay Basu — accepted AI-conference papers

2024

OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset

Allen G Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang +3

NeurIPS 2024poster

We introduce OpenDebateEvidence, a comprehensive dataset for argument mining and summarization sourced from the American Competitive Debate community. This dataset includes over 3.5 million documents with rich metadata, making it one of the most extensive collections of debate evidence. OpenDebateEv…

Cited by 1 Source ↗PDF ↗Scholar ↗

2020

NGBoost: Natural Gradient Boosting for Probabilistic Prediction

Tony Duan, Avati Anand, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Ng +1

ICML 2020poster

We present Natural Gradient Boosting (NGBoost), an algorithm for generic probabilistic prediction via gradient boosting. Typical regression models return a point estimate, conditional on covariates, but probabilistic regression models output a full probability distribution over the outcome space, co…

Cited by 507 Source ↗PDF ↗code ↗Scholar ↗