Stochastic Gradient Monomial Gamma Sampler

Stochastic Gradient Monomial Gamma Sampler

5 June 2017

Lawrence Carin

Papers citing "Stochastic Gradient Monomial Gamma Sampler"

11 / 11 papers shown

Title
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling Zhe Gan Chunyuan Li Changyou Chen Yunchen Pu Qinliang Su Lawrence Carin BDL UQCV 88 41 0 23 Nov 2016
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 69 161 0 21 Oct 2016
Relativistic Monte Carlo Xiaoyu Lu Valerio Perrone Leonard Hasenclever Yee Whye Teh Sebastian J. Vollmer BDL 44 39 0 14 Sep 2016
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling Yizhe Zhang Xiangyu Wang Changyou Chen Ricardo Henao Kai Fan Lawrence Carin 135 21 0 25 Feb 2016
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization Changyou Chen David Carlson Zhe Gan Chunyuan Li Lawrence Carin 67 90 0 25 Dec 2015
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models Chunyuan Li Changyou Chen Kai Fan Lawrence Carin BDL 74 25 0 23 Dec 2015
A Complete Recipe for Stochastic Gradient MCMC Yian Ma Tianqi Chen E. Fox BDL SyDa 62 486 0 15 Jun 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 80 514 0 23 Dec 2014
Consistency and fluctuations for stochastic gradient Langevin dynamics Yee Whye Teh Alexandre Hoang Thiery Sebastian J. Vollmer 70 234 0 01 Sep 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 106 910 0 17 Feb 2014
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent 173 703 0 27 Jun 2012