Saminul Haque

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Theoretic Framework

Relative Entropy

Statistical Estimation

Top Venues

Trans. Mach. Learn. Res.

Publications

John C. Duchi, Saminul Haque
An information-theoretic lower bound in time-uniform estimation. CoRR (2024)
John C. Duchi, Saminul Haque
An information-theoretic lower bound in time-uniform estimation. COLT (2024)
Hilal Asi, John C. Duchi, Saminul Haque, Zewei Li, Feng Ruan
Universally Instance-Optimal Mechanisms for Private Statistical Estimation. COLT (2024)
Rohith Kuditipudi, John C. Duchi, Saminul Haque
A Pretty Fast Algorithm for Adaptive Private Mean Estimation. COLT (2023)
John C. Duchi, Saminul Haque, Rohith Kuditipudi
A Fast Algorithm for Adaptive Private Mean Estimation. CoRR (2023)
Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification. Trans. Mach. Learn. Res. 2023 (2023)
Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto
Is Importance Weighting Incompatible with Interpolating Classifiers? ICLR (2022)
Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification. CoRR (2022)
Ke Alexander Wang, Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto
Is Importance Weighting Incompatible with Interpolating Classifiers? CoRR (2021)
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. NeurIPS (2019)
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. CoRR (2019)