Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2025
- Physica D: Nonlinear Phenomena
Yingdong Lu
Title
Research Staff Member
Bio
I am a researcher in Mathematical Sciences. My reseach interests are in the areas of analysis and probability.
I studied mathmatics and operations research at Peking University in Beijing and Columbia University in the city of New York.
Publications
Power iteration with probabilistic updates for systems with heterogeneous performance
- Soumyadip Ghosh
- Lior Horesh
- et al.
- 2025
- HPEC 2025
On The Variance of Schatten 𝑝-Norm Estimation with Gaussian Sketching Matrices
- Lior Horesh
- Vasileios Kalantzis
- et al.
- 2025
- Monte Carlo Methods Appl.
On Representations of Mean-Field Variational Inference
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2025
- Journal of Applied Analysis
SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics
- Fernando Martinez
- Juntao Chen
- et al.
- 2025
- AAAI 2025
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information
- Juntao Chen
- Yingdong Lu
- 2024
- ISMP 2024
On Representations of Mean-Field Variational Inference
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2023
- NeurIPS 2023
General Markov Decision Process Framework for Directly Learning Optimal Control Policies
- 2023
- SIAM CT 2023
Markov Decision Process Framework for Control-Based Reinforcement Learning
- 2023
- SIGMETRICS 2023
On A Stein Method Based Approximation for A Two-Dimensional Markov Chain
- 2023
- Appl. Math.
Top collaborators
MS
Mark S. Squillante
Distinguished Research Staff Member and Manager, Foundations of Probability and Dynamics, Math Sciences
CW
Chai Wah Wu
Principal Research Staff Member
LH
Lior Horesh
Senior Manager, Mathematics & Theoretical Computer Science