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cs.LG2023
Optimized Gradient Tracking for Decentralized Online Learning
Shivangi Dubey Sharma, Ketan Rajawat
This work considers the problem of decentralized online learning, where the goal is to track the optimum of the sum of time-varying functions, distributed across several nodes in a…
math.OC2023★ 1 cited
Sharpened Lazy Incremental Quasi-Newton Method
Aakash Lahoti, Spandan Senapati, Ketan Rajawat +1
The problem of minimizing the sum of functions in dimensions is ubiquitous in machine learning and statistics. In many applications where the number of observations is…
stat.ML2023
Low-complexity subspace-descent over symmetric positive definite manifold
Yogesh Darmwal, Ketan Rajawat
This work puts forth low-complexity Riemannian subspace descent algorithms for the minimization of functions over the symmetric positive definite (SPD) manifold. Different from the…