Roshni Sahoo, Joshua Blumenstock, Paul Niehaus, Leo Selker, Stefan Wager.
What would it cost to end extreme poverty?.
[paper]
Amy Guan, Marissa B Reitsma, Roshni Sahoo, Joshua A Salomon, Stefan Wager.
Data Fusion for High-Resolution Estimation.
[arxiv, code]
Roshni Sahoo, Lihua Lei, Stefan Wager.
Learning from a Biased Sample.
Minor Revision in Management Science. [arxiv, code]
Roshni Sahoo, Stefan Wager.
Policy Learning with Competing Agents.
Operations Research. [paper, arxiv, code, poster]
Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon.
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration.
Neural Information Processing Systems (NeurIPS), 2021. [arxiv]
Roshni Sahoo, Shengjia Zhao, Alyssa Chen, Stefano Ermon.
Reliable Decisions with Threshold Calibration.
Neural Information Processing Systems (NeurIPS), 2021. [pdf, talk, poster]
Roshni Sahoo, Ines Chami, Christopher Ré.
Tree Covers: An Alternative to Metric Embeddings.
Differential Geometry Meets Deep Learning Workshop, Neural Information Processing Systems (NeurIPS) 2020. [pdf, talk]
Roshni Sahoo, Divya Shanmugam, John Guttag.
Unsupervised Domain Adaptation in the Absence of Source Data.
Uncertainty and Robustness in Deep Learning Workshop, International Conference on Machine Learning (ICML) 2020. [arxiv, code]
Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus.
Deep Orientation Uncertainty Learning with a Bingham Loss.
International Conference on Learned Representations (ICLR) 2020. [pdf, code, talk]