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Breaking Reversibility Accelerates Langevin Dynamics for Global
  Non-Convex Optimization

Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization

19 December 2018
Xuefeng Gao
Mert Gurbuzbalaban
Lingjiong Zhu
ArXivPDFHTML

Papers citing "Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization"

5 / 5 papers shown
Title
Neural Sampling in Hierarchical Exponential-family Energy-based Models
Neural Sampling in Hierarchical Exponential-family Energy-based Models
Xingsi Dong
Si Wu
30
2
0
12 Oct 2023
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity --
  the Strongly Convex Case
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity -- the Strongly Convex Case
Tim Johnston
Iosif Lytras
Sotirios Sabanis
35
8
0
19 Jan 2023
On the Convergence of Stochastic Gradient MCMC Algorithms with
  High-Order Integrators
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen
Nan Ding
Lawrence Carin
37
158
0
21 Oct 2016
Efficient Solution to the 3D Problem of Automatic Wall Paintings
  Reassembly
Efficient Solution to the 3D Problem of Automatic Wall Paintings Reassembly
A. S. Keys
Dimitris Arabadjis
C. Iacovella
Panayiotis Rousopoulos
S. Glotzer
Michail Panagopoulos
Lena Papazoglou-Manioudaki
3DV
50
134
0
10 Oct 2012
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
1