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Replica Exchange for Non-Convex Optimization
v1v2v3v4 (latest)

Replica Exchange for Non-Convex Optimization

Journal of machine learning research (JMLR), 2020
23 January 2020
Jing-rong Dong
Xin T. Tong
ArXiv (abs)PDFHTML

Papers citing "Replica Exchange for Non-Convex Optimization"

14 / 14 papers shown
Flatness-Aware Stochastic Gradient Langevin Dynamics
Flatness-Aware Stochastic Gradient Langevin Dynamics
Stefano Bruno
Youngsik Hwang
Jaehyeon An
Sotirios Sabanis
Dong-Young Lim
265
0
0
02 Oct 2025
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations
Haoyang Zheng
Guang Lin
AI4CE
343
2
0
01 Feb 2025
Uniform error bound for PCA matrix denoising
Uniform error bound for PCA matrix denoisingBernoulli (Bernoulli), 2023
Xin T. Tong
Wanjie Wang
Yuguan Wang
291
7
0
22 Jun 2023
Non-reversible Parallel Tempering for Deep Posterior Approximation
Non-reversible Parallel Tempering for Deep Posterior ApproximationAAAI Conference on Artificial Intelligence (AAAI), 2022
Wei Deng
Qian Zhang
Qi Feng
F. Liang
Guang Lin
300
5
0
20 Nov 2022
Can We Do Better Than Random Start? The Power of Data Outsourcing
Can We Do Better Than Random Start? The Power of Data Outsourcing
Yi Chen
Jing-rong Dong
Xin T. Tong
168
0
0
17 May 2022
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global OptimizationCommunications in Mathematical Sciences (Commun. Math. Sci.), 2022
Bjorn Engquist
Kui Ren
Yunan Yang
463
6
0
12 Apr 2022
Convergence Speed and Approximation Accuracy of Numerical MCMC
Convergence Speed and Approximation Accuracy of Numerical MCMCAdvances in Applied Probability (Adv. Appl. Probab.), 2022
Tiangang Cui
Jing-rong Dong
Ajay Jasra
Xin T. Tong
191
2
0
07 Mar 2022
Maximum Entropy Differential Dynamic Programming
Maximum Entropy Differential Dynamic Programming
Oswin So
Ziyi Wang
Evangelos A. Theodorou
430
18
0
13 Oct 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Fu Wei
Chenglong Bao
Yang Liu
257
25
0
04 Oct 2021
Stochastic Gradient Langevin Dynamics with Variance Reduction
Stochastic Gradient Langevin Dynamics with Variance ReductionIEEE International Joint Conference on Neural Network (IJCNN), 2021
Zhishen Huang
Stephen Becker
288
13
0
12 Feb 2021
State-Dependent Temperature Control for Langevin Diffusions
State-Dependent Temperature Control for Langevin DiffusionsSIAM Journal of Control and Optimization (SICON), 2020
Ningyuan Chen
Z. Xu
X. Zhou
461
34
0
15 Nov 2020
Spectral Gap of Replica Exchange Langevin Diffusion on Mixture
  Distributions
Spectral Gap of Replica Exchange Langevin Diffusion on Mixture Distributions
Jing-rong Dong
Xin T. Tong
290
15
0
29 Jun 2020
Escaping Saddle Points Efficiently with Occupation-Time-Adapted
  Perturbations
Escaping Saddle Points Efficiently with Occupation-Time-Adapted Perturbations
Xin Guo
Jiequn Han
Mahan Tajrobehkar
Wenpin Tang
314
5
0
09 May 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient
  Langevin Dynamics
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin DynamicsJournal of machine learning research (JMLR), 2019
Xi Chen
S. Du
Xin T. Tong
505
34
0
30 Apr 2019
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