Publications

Yongxin Google Scholar

2021

Diffusion Normalizing Flow
Conference on Neural Information Processing Systems (Neurips) 2021 PDF Code
Inference of collective Gaussian hidden Markov models
IEEE CONTROL SYSTEMS 2021 PDF
Scalable Computation of Monge Maps with General Costs
Under review 2021 PDF
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
International Conference on Machine Learning (ICML) (long talk) 2021 PDF Code
Multi-marginal optimal transport and probabilistic graphical models
Annual Review of Control, Robotics, and Autonomous Systems 2021 PDF
Multimarginal Optimal Transport with a Tree-Structured Cost and the Schrödinger Bridge Problem
SIAM Journal on Control and Optimization 2021 PDF

2020

Learning Hidden Markov Models from Aggregate Observations
Under review 2020 PDF
Filtering for Aggregate Hidden Markov Models with Continuous Observations
Under review 2020 PDF
Inference with Aggregate Data: An Optimal Transport Approach
Under review 2020 PDF Code
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Conference on Neural Information Processing Systems (Neurips) (Oral) 2020 PDF
On the matrix Monge–Kantorovich problem
European Journal of Applied Mathematics 2020 PDF
Improving Robustness via Risk Averse Distributional Reinforcement Learning
Learning for Dynamics and Control (L4DC) 2020 PDF
Incremental inference of collective graphical models.
IEEE Control Systems Letters 2020 PDF
Multi-marginal optimal transport and probabilistic graphical models
IEEE Transactions on Information Theory 2020 PDF Code
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
Ninth International Conference on Learning Representations 2020 PDF
Nonlinear Covariance Control via Differential Dynamic Programming
American Control Conference (ACC) 2020 PDF

2019

Provably Global Convergence of Actor- Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
Conference on Neural Information Processing Systems 2019 PDF
Network curvature as a hallmark of brain structural connectivity
Nature Communications 2019 PDF
Estimating Ensemble Flows on a Hidden Markov Chain
IEEE Conference on Decision and Control 2019 PDF
Alternating Gradient Descent Ascent for Nonconvex-strongly-concave Min-Max Optimization
Asilomar Conference on Signals, Systems and Computers 2019 PDF

2018

Matrix Optimal Mass Transport: a Quantum Mechanical Approach
IEEE Transactions on Automatic Control 2018 PDF
Measure-valued spline curves: An optimal transport viewpoint
SIAM Journal of Mathematical Analysis 2018 PDF
Optimal steering of a linear stochastic system to a final probability distribution, part III
IEEE Transactions on Automatic Control 2018 PDF
State tracking of linear ensembles via optimal mass transport
IEEE Control Systems Letters 2018 PDF
Vector and Matrix Optimal Mass Transport: Theory, Algorithm, and Applications
SIAM Journal of Scientific Computing 2018 PDF

2017

Optimal transport over a linear dynamical system
IEEE Transactions on Automatic Control 2017 PDF
Robust transport over networks
IEEE Transactions on Automatic Control 2017 PDF

2016

On the relation between optimal transport and Schroedinger bridges: A stochastic control viewpoint
Journal of Optimization Theory and Applications 2016 PDF
Optimal steering of a linear stochastic system to a final probability distribution, part I
IEEE Transactions on Automatic Control 2016 George S. Axelby Best Paper Award PDF
Optimal steering of a linear stochastic system to a final probability distribution, part II
IEEE Transactions on Automatic Control 2016 PDF

0001

Regularized transport between singular covariance matrices
Annual Review of Control, Robotics, and Autonomous Systems 0001 PDF