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Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
v1v2 (latest)

Optimal Scaling for Locally Balanced Proposals in Discrete Spaces

Neural Information Processing Systems (NeurIPS), 2022
16 September 2022
Haoran Sun
H. Dai
Dale Schuurmans
ArXiv (abs)PDFHTML

Papers citing "Optimal Scaling for Locally Balanced Proposals in Discrete Spaces"

8 / 8 papers shown
Title
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
Muheng Li
Ruqi Zhang
235
4
0
06 Mar 2025
Enhancing Gradient-based Discrete Sampling via Parallel Tempering
Enhancing Gradient-based Discrete Sampling via Parallel Tempering
Luxu Liang
Yuhang Jia
Feng Zhou
343
0
0
26 Feb 2025
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff
Junhao Xiong
Stephan Allenspach
Jennifer Listgarten
383
78
0
03 Jun 2024
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Patrick Pynadath
Riddhiman Bhattacharya
Arun Hariharan
Ruqi Zhang
125
7
0
27 Feb 2024
Training Discrete Energy-Based Models with Energy Discrepancy
Training Discrete Energy-Based Models with Energy Discrepancy
Tobias Schröder
Chinmay Pani
Yingzhen Li
Andrew B. Duncan
182
0
0
14 Jul 2023
Efficient Informed Proposals for Discrete Distributions via Newton's
  Series Approximation
Efficient Informed Proposals for Discrete Distributions via Newton's Series ApproximationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yue Xiang
Dongyao Zhu
Bowen Lei
Dongkuan Xu
Ruqi Zhang
111
6
0
27 Feb 2023
Improving multiple-try Metropolis with local balancing
Improving multiple-try Metropolis with local balancingJournal of machine learning research (JMLR), 2022
Philippe Gagnon
Florian Maire
T. Rigon
232
12
0
21 Nov 2022
Discrete Langevin Sampler via Wasserstein Gradient Flow
Discrete Langevin Sampler via Wasserstein Gradient FlowInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Haoran Sun
H. Dai
Bo Dai
Haomin Zhou
Dale Schuurmans
BDL
212
25
0
29 Jun 2022
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