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Inference of collective Gaussian hidden Markov models


Jul 24, 2021
Rahul Singh, Yongxin Chen


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Scalable Computation of Monge Maps with General Costs


Jun 07, 2021
Jiaojiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Haomin Zhou


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Learning High Dimensional Wasserstein Geodesics


Feb 22, 2021
Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou


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Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization


Dec 21, 2020
Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang

* 58 pages 

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Learning Hidden Markov Models from Aggregate Observations


Nov 23, 2020
Rahul Singh, Qinsheng Zhang, Yongxin Chen


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Filtering for Aggregate Hidden Markov Models with Continuous Observations


Nov 06, 2020
Qinsheng Zhang, Rahul Singh, Yongxin Chen

* 8 pages, 6 figures 

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Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks


Jul 08, 2020
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen

* 16 pages,12 figures 

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A convex data-driven approach for nonlinear control synthesis


Jun 28, 2020
Hyungjin Choi, Umesh Vaidya, Yongxin Chen

* 6 pages, 5 figures 

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Incremental inference of collective graphical models


Jun 26, 2020
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen


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Multi-marginal optimal transport and probabilistic graphical models


Jun 25, 2020
Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

* 24 pages, 9 figures 

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Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory


Jun 08, 2020
Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang


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Improving Robustness via Risk Averse Distributional Reinforcement Learning


May 01, 2020
Rahul Singh, Qinsheng Zhang, Yongxin Chen


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Inference with Aggregate Data: An Optimal Transport Approach


Mar 31, 2020
Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen

* 10 pages, 6 figures 

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Sample-based Distributional Policy Gradient


Jan 08, 2020
Rahul Singh, Keuntaek Lee, Yongxin Chen


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Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games


Oct 16, 2019
Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang


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On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost


Jul 14, 2019
Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang

* 41 pages 

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Probabilistic Kernel Support Vector Machines


Apr 14, 2019
Yongxin Chen, Tryphon T. Georgiou, Allen R. Tannenbaum

* 6 pages, no figures 

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Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications


Feb 21, 2019
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong, Yongxin Chen


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On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator


Jan 11, 2019
Qi Cai, Mingyi Hong, Yongxin Chen, Zhaoran Wang


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