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math.OC2022★ 1 cited
Optimal Methods for Higher-Order Smooth Monotone Variational Inequalities
Deeksha Adil, Brian Bullins, Arun Jambulapati +1
In this work, we present new simple and optimal algorithms for solving the variational inequality (VI) problem for -order smooth, monotone operators -- a problem that gener…
math.OC2021★ 2 cited
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization
Deeksha Adil, Brian Bullins, Sushant Sachdeva
We provide several algorithms for constrained optimization of a large class of convex problems, including softmax, regression, and logistic regression. Central to our appr…