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cs.LG2020
Stochastic Gradient Langevin with Delayed Gradients
Vyacheslav Kungurtsev, Bapi Chatterjee, Dan Alistarh
Stochastic Gradient Langevin Dynamics (SGLD) ensures strong guarantees with regards to convergence in measure for sampling log-concave posterior distributions by adding noise to st…
cs.DC2020
Dynamic Graph Operations: A Consistent Non-blocking Approach
Bapi Chatterjee, Sathya Peri, Muktikanta Sa
Graph algorithms enormously contribute to the domains such as blockchains, social networks, biological networks, telecommunication networks, and several others. The ever-increasing…
cs.LG2020
Elastic Consistency: A General Consistency Model for Distributed Stochastic Gradient Descent
Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee +2
Machine learning has made tremendous progress in recent years, with models matching or even surpassing humans on a series of specialized tasks. One key element behind the progress…