Nori, Harsha

11 publications

ICLR 2024 Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin

ICML 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICLRW 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

NeurIPSW 2024 GAMformer: Exploring In-Context Learning for Generalized Additive Models Andreas C Mueller, Julien Siems, Harsha Nori, Rich Caruana, Frank Hutter

NeurIPSW 2024 GAMformer: Exploring In-Context Learning for Generalized Additive Models Andreas C Mueller, Julien Siems, Harsha Nori, David Salinas, Arber Zela, Rich Caruana, Frank Hutter

NeurIPSW 2023 Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Harsha Nori, Sergey Yekhanin

NeurIPSW 2023 Elephants Never Forget: Testing Language Models for Memorization of Tabular Data Sebastian Bordt, Harsha Nori, Rich Caruana

CLeaR 2022 Differentially Private Estimation of Heterogeneous Causal Effects Fengshi Niu, Harsha Nori, Brian Quistorff, Rich Caruana, Donald Ngwe, Aadharsh Kannan

ICML 2021 Accuracy, Interpretability, and Differential Privacy via Explainable Boosting Harsha Nori, Rich Caruana, Zhiqi Bu, Judy Hanwen Shen, Janardhan Kulkarni

NeurIPS 2019 An Algorithmic Framework for Differentially Private Data Analysis on Trusted Processors Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin

AAAI 2018 Comparing Population Means Under Local Differential Privacy: With Significance and Power Bolin Ding, Harsha Nori, Paul Li, Joshua Allen