Kong, Weiwei

7 publications

ICLR 2025 Differentially Private Optimization for Non-Decomposable Objective Functions Weiwei Kong, Andres Munoz Medina, Mónica Ribero

NeurIPS 2025 Escaping Collapse: The Strength of Weak Data for Large Language Model Training Kareem Amin, Sara Babakniya, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii

ICLRW 2025 Escaping Collapse: The Strength of Weak Data for Large Language Model Training Kareem Amin, Sara Babakniya, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii

NeurIPS 2023 A Unified Fast Gradient Clipping Framework for DP-SGD Weiwei Kong, Andres Munoz Medina

NeurIPSW 2023 RényiTester: A Variational Approach to Testing Differential Privacy Weiwei Kong, Andres Munoz Medina, Mónica Ribero

NeurIPS 2020 Rankmax: An Adaptive Projection Alternative to the SoftMax Function Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang

ICLR 2019 A New Dog Learns Old Tricks: RL Finds Classic Optimization Algorithms Weiwei Kong, Christopher Liaw, Aranyak Mehta, D. Sivakumar