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cs.LG2026
Scaling Limits of Constant-Stepsize SGD at Flat Minima
Jingyi Zhang, Cheng Mao, Debankur Mukherjee
For stochastic gradient descent (SGD) with a constant stepsize , the invariant law of the iterates, centered at a minimizer, describes the behavior of the algorithm over long ti…
cs.LG2026
SCaLE: Switching Cost aware Learning and Exploration
Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman
This work addresses the fundamental problem of unbounded metric movement costs in bandit online convex optimization, by considering high-dimensional dynamic quadratic hitting costs…