Guanyang Wang

According to our database, Guanyang Wang authored at least 24 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Couple to Control: Joint Initial Noise Design in Diffusion Models.

Jing Jia, Liyue Shen, Guanyang Wang

CoRR, May, 2026

Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation.

Yihang Sun, Guanyang Wang, Jose H. Blanchet

CoRR, February, 2026

Benchmarking Uncertainty Quantification of Plug-and-Play Diffusion Priors for Inverse Problems Solving.

Xiaoyu Qiu, Taewon Yang, Zhanhao Liu, Guanyang Wang, Liyue Shen

CoRR, February, 2026

Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance.

Jing Jia, Wei Yuan, Sifan Liu, Liyue Shen, Guanyang Wang

CoRR, January, 2026

TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering.

Tianqi Zhao, Guanyang Wang, Yan Shuo Tan, Qiong Zhang

CoRR, January, 2026

2025

Connecting Quantum Computing with Classical Stochastic Simulation.

Jose H. Blanchet, Mark S. Squillante, Mario Szegedy, Guanyang Wang

CoRR, September, 2025

Antithetic Noise in Diffusion Models.

Jing Jia, Sifan Liu, Bowen Song, Wei Yuan, Liyue Shen, Guanyang Wang

CoRR, June, 2025

Non-linear Quantum Monte Carlo.

Jose H. Blanchet, Yassine Hamoudi, Mario Szegedy, Guanyang Wang

CoRR, February, 2025

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation.

Bowen Song, Zecheng Zhang, Zhaoxu Luo, Jason Hu, Wei Yuan, Jing Jia, Zhengxu Tang, Guanyang Wang, Liyue Shen

CoRR, February, 2025

Differentially Private Range Queries with Correlated Input Perturbation.

Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A phase transition in sampling from Restricted Boltzmann Machines.

Youngwoo Kwon, Qian Qin, Guanyang Wang, Yuchen Wei

CoRR, 2024

When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones?

Guanyang Wang, Jose H. Blanchet, Peter W. Glynn

CoRR, 2024

2023

Bistatic MIMO DFRC System Waveform Design via Fractional Programming.

Baoxi Guo, Junli Liang, Guanyang Wang, Bo Tang, Hing-Cheung So

IEEE Trans. Signal Process., 2023

On the minimax spherical designs.

Weibo Fu, Guanyang Wang, Jun Yan

Random Struct. Algorithms, 2023

Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC.

Tianze Wang, Guanyang Wang

J. Mach. Learn. Res., 2023

Optimal randomized multilevel Monte Carlo for repeatedly nested expectations.

Yasa Syed, Guanyang Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Spectral Telescope: Convergence Rate Bounds for Random-Scan Gibbs Samplers Based on a Hierarchical Structure.

Qian Qin, Guanyang Wang

CoRR, 2022

Repeated Averages on Graphs.

Ramis Movassagh, Mario Szegedy, Guanyang Wang

CoRR, 2022

2021

Maximal Couplings of the Metropolis-Hastings Algorithm.

Guanyang Wang, John O'Leary, Pierre Jacob

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

On the Theoretical Properties of Exchange Algorithm.

Guanyang Wang

CoRR, 2020

2019

Modeling treatment events in disease progression.

Guanyang Wang, Yumeng Zhang, Yong Deng, Xuxin Huang, Lukasz Kidzinski

CoRR, 2019

A Fast Scheme for the Uniform Sampling of Binary Matrices with Fixed Margins.

Guanyang Wang

CoRR, 2019

A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior.

Guanyang Wang

CoRR, 2019

2018

Expectation of the Largest Betting Size in Labouchère System.

Yanjun Han, Guanyang Wang

CoRR, 2018