Search Results - "Li, Wuchen"
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Transport information geometry: Riemannian calculus on probability simplex
Published in Information geometry (01-07-2022)“…We formulate the Riemannian calculus of the probability set embedded with L 2 -Wasserstein metric. This is an initial work of transport information geometry…”
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A machine learning framework for solving high-dimensional mean field game and mean field control problems
Published in Proceedings of the National Academy of Sciences - PNAS (28-04-2020)“…Mean field games (MFG) and mean field control (MFC) are critical classes of multiagent models for the efficient analysis of massive populations of interacting…”
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Quantum Statistical Learning via Quantum Wasserstein Natural Gradient
Published in Journal of statistical physics (2021)“…In this article, we introduce a new approach towards the statistical learning problem argmin ρ ( θ ) ∈ P θ W Q 2 ( ρ ⋆ , ρ ( θ ) ) to approximate a target…”
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Exponential Entropy Dissipation for Weakly Self-Consistent Vlasov–Fokker–Planck Equations
Published in Journal of nonlinear science (01-02-2024)“…We study long-time dynamical behaviors of weakly self-consistent Vlasov–Fokker–Planck equations. We introduce Hessian matrix conditions on mean-field kernel…”
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Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games
Published in Proceedings of the National Academy of Sciences - PNAS (03-08-2021)“…We present APAC-Net, an alternating population and agent control neural network for solving stochastic mean-field games (MFGs). Our algorithm is geared toward…”
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Entropy Dissipation for Degenerate Stochastic Differential Equations via Sub-Riemannian Density Manifold
Published in Entropy (Basel, Switzerland) (11-05-2023)“…We studied the dynamical behaviors of degenerate stochastic differential equations (SDEs). We selected an auxiliary Fisher information functional as the…”
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A kernel formula for regularized Wasserstein proximal operators
Published in Research in the mathematical sciences (01-12-2023)“…We study a class of regularized proximal operators in Wasserstein-2 space. We derive their solutions by kernel integration formulas. We obtain the Wasserstein…”
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Mean field control problems for vaccine distribution
Published in Research in the mathematical sciences (2022)“…With the invention of the COVID-19 vaccine, shipping and distributing are crucial in controlling the pandemic. In this paper, we build a mean-field variational…”
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Modeling COVID-19 with mean field evolutionary dynamics: Social distancing and seasonality
Published in Journal of communications and networks (01-10-2021)“…The coronavirus pandemic has been declared a world health emergency by the World Health Organization, which has raised the importance of an accurate…”
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Dynamical Schrödinger Bridge Problems on Graphs
Published in Journal of dynamics and differential equations (01-09-2022)“…We study a discrete dynamical Schrödinger bridge problem (SBP) as a dynamical variational problem on a finite graph. We prove that the discrete SBP exists a…”
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Accelerated Information Gradient Flow
Published in Journal of scientific computing (2022)“…We present a framework for Nesterov’s accelerated gradient flows in probability space to design efficient mean-field Markov chain Monte Carlo algorithms for…”
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Langevin dynamics for the probability of finite state Markov processes
Published in Information geometry (26-10-2024)Get full text
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Diffusion hypercontractivity via generalized density manifold
Published in Information geometry (2024)“…We prove a one-parameter family of diffusion hypercontractivity from a class of drift-diffusion processes. We next derive the related log–Sobolev, Poincare,…”
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Transport information Bregman divergences
Published in Information geometry (01-12-2021)“…We study Bregman divergences in probability density space embedded with the L 2 –Wasserstein metric. Several properties and dualities of transport Bregman…”
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Fisher information regularization schemes for Wasserstein gradient flows
Published in Journal of computational physics (01-09-2020)“…•Derive Fisher information regularization via energy splitting.•Reduce the dimension of inner dynamic formulation.•With the new regularization, the method is…”
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Natural gradient via optimal transport
Published in Information geometry (01-12-2018)“…We study a natural Wasserstein gradient flow on manifolds of probability distributions with discrete sample spaces. We derive the Riemannian structure for the…”
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Computational mean-field information dynamics associated with reaction-diffusion equations
Published in Journal of computational physics (01-10-2022)“…We formulate and compute a class of mean-field information dynamics for reaction-diffusion equations. Given a class of nonlinear reaction-diffusion equations…”
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Wasserstein information matrix
Published in Information geometry (01-06-2023)“…We study information matrices for statistical models by the L 2 -Wasserstein metric. We call them Wasserstein information matrices (WIMs), which are analogs of…”
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Controlling conservation laws I: Entropy–entropy flux
Published in Journal of computational physics (01-05-2023)“…We study a class of variational problems for regularized conservation laws with Lax's entropy-entropy flux pairs. We first introduce a modified optimal…”
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Controlling conservation laws II: Compressible Navier–Stokes equations
Published in Journal of computational physics (15-08-2022)“…We propose, study, and compute solutions to a class of optimal control problems for hyperbolic systems of conservation laws and their viscous regularization…”
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