71 citations · 151 across the 51 of their papers we have counts for
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math.OC2019
Distributed Stochastic Nonsmooth Nonconvex Optimization
Vyacheslav Kungurtsev
Distributed consensus optimization has received considerable attention in recent years; several distributed consensus-based algorithms have been proposed for (nonsmooth) convex and…
math.OC2019★ 2 cited
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees
Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee +1
Asynchronous distributed algorithms are a popular way to reduce synchronization costs in large-scale optimization, and in particular for neural network training. However, for nonsm…
cs.AI2019★ 1 cited
Lifted Weight Learning of Markov Logic Networks Revisited
Ondrej Kuzelka, Vyacheslav Kungurtsev
We study lifted weight learning of Markov logic networks. We show that there is an algorithm for maximum-likelihood learning of 2-variable Markov logic networks which runs in time…