Guha Thakurta, Abhradeep

5 publications

ICML 2024 Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret Without Smoothness Requirements Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Guha Thakurta
ICML 2024 Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation Gavin R Brown, Krishnamurthy Dj Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Guha Thakurta
ICML 2023 Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning Christopher A. Choquette-Choo, Hugh Brendan Mcmahan, J Keith Rush, Abhradeep Guha Thakurta
ICML 2023 Multi-Task Differential Privacy Under Distribution Skew Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang
ICML 2023 Why Is Public Pretraining Necessary for Private Model Training? Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang