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cs.LG2023
Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks
Ketaki Joshi, Raghavendra Pradyumna Pothukuchi, Andre Wibisono +1
Continual learning on sequential data is critical for many machine learning (ML) deployments. Unfortunately, LSTM networks, which are commonly used to learn on sequential data, suf…
math.OC2023★ 1 cited
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
Jun-Kun Wang, Andre Wibisono
Quasar convexity is a condition that allows some first-order methods to efficiently minimize a function even when the optimization landscape is non-convex. Previous works develop n…