Private PAC Learning May be Harder than Online Learning - Mark Bun; Aloni Cohen; Rathin Desai (International Conference on Algorithmic Learning Theory, 25-28 February 2024, La Jolla, California, USA, 2024)

Oracle-Efficient Differentially Private Learning with Public Data - Adam Block; Mark Bun; Rathin Desai; Abhishek Shetty; Zhiwei Steven Wu (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Oracle-Efficient Differentially Private Learning with Public Data - Adam Block; Mark Bun; Rathin Desai; Abhishek Shetty; Zhiwei Steven Wu (CoRR, 2024)

Private PAC Learning May be Harder than Online Learning - Mark Bun; Aloni Cohen; Rathin Desai (CoRR, 2024)

Efficient Statistics for Sparse Graphical Models from Truncated Samples - Arnab Bhattacharyya; Rathin Desai; Sai Ganesh Nagarajan; Ioannis Panageas (The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event, 2021)

Efficient Statistics for Sparse Graphical Models from Truncated Samples - Arnab Bhattacharyya; Rathin Desai; Sai Ganesh Nagarajan; Ioannis Panageas (CoRR, 2020)

Quantifying Error in the Presence of Confounders for Causal Inference - Rathin Desai; Amit Sharma (CoRR, 2019)