accelerated methods 1adaptive gradient methods 1bias correction 1convergence rates 1dynamic regret 1heavy-tailed noise 1non-expansive operators 1online convex optimization 1parameter-free algorithms 1stochastic approximation 1two-time-scale algorithms 1
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math.OC2025
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
Yiyang Lu, Mohammad Pedramfar, Vaneet Aggarwal
We introduce a novel framework for decentralized projection-free optimization, extending projection-free methods to a broader class of upper-linearizable functions. Our approach le…
math.OC2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
Mohammad Pedramfar, Vaneet Aggarwal
This paper introduces the notion of upper-linearizable/quadratizable functions, a class that extends concavity and DR-submodularity in various settings, including monotone and non-…