1.3k citations · 3.8k across the 222 of their papers we have counts for
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Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
This work proposes a universal and adaptive second-order method for minimizing second-order smooth, convex functions. Our algorithm achieves convergence when the o…
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos +2
We propose an adaptive variance-reduction method, called AdaSpider, for minimization of -smooth, non-convex functions with a finite-sum structure. In essence, AdaSpider combines…
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
In this paper, we propose a new, simplified high probability analysis of AdaGrad for smooth, non-convex problems. More specifically, we focus on a particular accelerated gradient (…
On the Complexity of a Practical Primal-Dual Coordinate Method
Ahmet Alacaoglu, Volkan Cevher, Stephen J. Wright
We prove complexity bounds for the primal-dual algorithm with random extrapolation and coordinate descent (PURE-CD), which has been shown to obtain good practical performance for s…