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Consistency and fluctuations for stochastic gradient Langevin dynamics
Applying standard Markov chain Monte Carlo (MCMC) algorithms to large data sets is computationally expensive. Both the calculation of …
Yee Whye Teh
,
Alexandre H Thiery
,
Sebastian J Vollmer
Cite
Consistency and fluctuations for stochastic gradient Langevin dynamics
Applying standard Markov chain Monte Carlo (MCMC) algorithms to large data sets is computationally expensive. Both the calculation of …
Yee Whye Teh
,
Alexandre H Thiery
,
Sebastian J Vollmer
Cite
Exploration of the (non-)asymptotic bias and variance of stochastic gradient langevin dynamics
Applying standard Markov chain Monte Carlo (MCMC) algorithms to large data sets is computationally infeasible. The recently proposed …
Sebastian J Vollmer
,
Konstantinos C Zygalakis
,
Yee Whye Teh
Cite
Cite
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