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cs.LG2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks
Usman Syed, Bin Hu
Computing tight Lipschitz bounds for deep neural networks is crucial for analyzing their robustness and stability, but existing approaches either produce relatively conservative es…
cs.LG2019★ 34 cited
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory
Bin Hu, Usman Ahmed Syed
In this paper, we provide a unified analysis of temporal difference learning algorithms with linear function approximators by exploiting their connections to Markov jump linear sys…