3 papers
math.OC2025
Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
Vishwak Srinivasan, Qijia Jiang
In this work, we develop a collection of novel methods for the entropic-regularised optimal transport problem, which are inspired by existing mirror descent interpretations of the…
stat.ML2025
Machine-Learned Sampling of Conditioned Path Measures
Qijia Jiang, Reuben Cohn-Gordon
We propose algorithms for sampling from posterior path measures under a general prior process. This leverages ideas from (1) controlled equilibrium dyn…
stat.ML2024
Control, Transport and Sampling: Towards Better Loss Design
Qijia Jiang, David Nabergoj
Leveraging connections between diffusion-based sampling, optimal transport, and stochastic optimal control through their shared links to the Schrödinger bridge problem, we propose…