:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xu, Yewei, Li, Qin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Optimization and Control 65M12
Online Access:	https://arxiv.org/abs/2406.08209
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forward Euler for Wasserstein Gradient Flows: Breakdown and Regularization
by: Xu, Yewei, et al.
Published: (2025)

Random Coordinate Descent on the Wasserstein Space of Probability Measures
by: Xu, Yewei, et al.
Published: (2026)

New time domain decomposition methods for parabolic optimal control problems II: Neumann-Neumann algorithms
by: Gander, Martin Jakob, et al.
Published: (2024)

Numerical boundary control of multi-dimensional discrete-velocity kinetic models
by: Yang, Haitian, et al.
Published: (2025)

Average Kernel Sizes -- Computable Sharp Accuracy Bounds for Inverse Problems
by: Gottschling, Nina M., et al.
Published: (2025)

An optimization-based construction procedure for function space based summation-by-parts operators on arbitrary grids
by: Glaubitz, Jan, et al.
Published: (2024)

Optimal control of a quasilinear parabolic equation and its time discretization
by: Blank, Luise, et al.
Published: (2021)

Distributed optimal control problems governed by poroelasticity equations
by: Khan, Arbaz, et al.
Published: (2026)

Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow
by: Li, Qin, et al.
Published: (2024)

A CWENO large time-step scheme for Hamilton--Jacobi equations
by: Carlini, E., et al.
Published: (2024)

Stabilized neural Hamilton--Jacobi--Bellman solvers: Error analysis and applications in model-based reinforcement learning
by: Kim, Minseok, et al.
Published: (2026)

Optimal control of variable-exponent subdiffusion
by: Li, Yiqun, et al.
Published: (2025)

Feedback Stabilization and Finite Element Error Analysis of Viscous Burgers Equation around Non-Constant Steady State
by: Akram, Wasim
Published: (2024)

Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size
by: Liao, Huafu, et al.
Published: (2024)

A new flow dynamic approach for Wasserstein gradient flows
by: Cheng, Qing, et al.
Published: (2024)

Unique reconstruction for discretized inverse problems: a random sketching approach via subsampling
by: Jin, Ruhui, et al.
Published: (2024)

Finite Difference Method for Global Stabilization of the Viscous Burgers' Equation with Nonlinear Neumann Boundary Feedback Control
by: Singh, Shishu Pal, et al.
Published: (2025)

Approximation of Solution Operators for High-dimensional PDEs
by: Gaby, Nathan, et al.
Published: (2024)

A mixed formulation for the direct approximation of $L^2$-weighted controls for the linear heat equation
by: Münch, Arnaud, et al.
Published: (2024)

BDF schemes for accelerated gradient flows in projection-free approximation of nonconvex constrained variational minimization
by: Dong, Guozhi, et al.
Published: (2024)

Dynamic Programming Techniques for Planar Orbital Transfer of Low Earth Orbit Satellites
by: Ciancarelli, C., et al.
Published: (2024)

Coupling optimization algorithms and monotone control systems: Suboptimal model predictive control as an operator splitting scheme
by: Preuster, Till, et al.
Published: (2026)

Deep Image Prior for photoacoustic tomography can mitigate limited-view artifacts
by: Pulkkinen, Hanna, et al.
Published: (2026)

Preconditioned Regularized Wasserstein Proximal Sampling
by: Tan, Hong Ye, et al.
Published: (2025)

A $C^0$ weak Galerkin method with preconditioning for constrained optimal control problems with general tracking
by: Jeong, SeongHee, et al.
Published: (2025)

Randomized Forward Mode of Automatic Differentiation For Optimization Algorithms
by: Shukla, Khemraj, et al.
Published: (2023)

A gradient flow approach for combined layout-control design of wave energy parks
by: Gambarini, Marco, et al.
Published: (2024)

Monotone 2D Integration Scheme for Mean-CVaR Optimization via Fourier-Trained Transition Kernels
by: Dang, Duy-Minh, et al.
Published: (2026)

Provably fully discrete energy-stable and asymptotic-preserving scheme for barotropic Euler equations
by: Anandan, Megala, et al.
Published: (2025)

Convergence of the generalization error for deep gradient flow methods for PDEs
by: Liu, Chenguang, et al.
Published: (2025)

Resolving gradient pathology in physics-informed epidemiological models
by: Golooba, Nickson, et al.
Published: (2026)

Control theory and splitting methods
by: Beauchard, Karine, et al.
Published: (2024)

Particle-based algorithm for stochastic optimal control
by: Reich, Sebastian
Published: (2023)

On the Convergence of Jacobian-Free Backpropagation for Optimal Control Problems with Implicit Hamiltonians
by: Gelphman, Eric, et al.
Published: (2026)

Training Autoencoders Using Stochastic Hessian-Free Optimization with LSMR
by: Emirahmetoglu, Ibrahim, et al.
Published: (2025)

Retractions on closed sets
by: Olikier, Guillaume
Published: (2024)

$ε$-Policy Gradient for Online Pricing
by: Szpruch, Lukasz, et al.
Published: (2024)

Distributed gradient methods under heavy-tailed communication noise
by: Vukovic, Manojlo, et al.
Published: (2025)

Entropy-split multidimensional summation-by-parts discretization of the Euler and compressible Navier-Stokes equations
by: Worku, Zelalem Arega, et al.
Published: (2023)

Differential-Equation Constrained Optimization With Stochasticity
by: Li, Qin, et al.
Published: (2023)