Saminul Haque

According to our database, Saminul Haque authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Near Exact Privacy Amplification for Matrix Mechanisms.

Christopher A. Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Thakurta

CoRR, 2024

An information-theoretic lower bound in time-uniform estimation.

John C. Duchi, Saminul Haque

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Universally Instance-Optimal Mechanisms for Private Statistical Estimation.

Hilal Asi, John C. Duchi, Saminul Haque, Zewei Li, Feng Ruan

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification.

Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

Trans. Mach. Learn. Res., 2023

A Fast Algorithm for Adaptive Private Mean Estimation.

John C. Duchi, Saminul Haque, Rohith Kuditipudi

CoRR, 2023

A Pretty Fast Algorithm for Adaptive Private Mean Estimation.

Rohith Kuditipudi, John C. Duchi, Saminul Haque

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Is Importance Weighting Incompatible with Interpolating Classifiers?

Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto

Proceedings of the Tenth International Conference on Learning Representations, 2022

2019

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks.

Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019