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Co-occurring keywords · papers mentioning both

online learning (2) stochastic gradient descent (2) reproducing kernel hilbert space (1) sparse online learning (1) parameter-free algorithm (1) mirror descent (1) online linear optimization (1) state space model (1) generalized linear model (1) statistical efficiency (1)

Papers

Longhorn: State Space Models are Amortized Online Learners ICLR 2025 Parameter-free Mirror Descent COLT 2022 Towards Stability and Optimality in Stochastic Gradient Descent AISTATS 2016 Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014 implicit Online Learning with Kernels NeurIPS 2006