Lihua Lei, Roshni Sahoo, Stefan Wager. Policy Learning under Biased Sample Selection. [arxiv]

Roshni Sahoo, Lihua Lei, Stefan Wager. Learning from a Biased Sample. [arxiv, code]

Roshni Sahoo, Stefan Wager. Policy Learning with Competing Agents. [arxiv, code, poster, EAAMO talk]

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]