Pages that link to "Item:Q4627155"
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The following pages link to Scaling Limit of the Stein Variational Gradient Descent: The Mean Field Regime (Q4627155):
Displaying 27 items.
- A stochastic version of Stein variational gradient descent for efficient sampling (Q782348) (← links)
- Ensemble Kalman inversion: mean-field limit and convergence analysis (Q2029092) (← links)
- Particle-based energetic variational inference (Q2058750) (← links)
- Gradient-free Stein variational gradient descent with kernel approximation (Q2235046) (← links)
- Stein variational gradient descent with local approximations (Q2246277) (← links)
- Hessian transport gradient flows (Q2336045) (← links)
- Sparse approximation of triangular transports. I: The finite-dimensional case (Q2672289) (← links)
- Stein's method meets computational statistics: a review of some recent developments (Q2684693) (← links)
- Fokker--Planck Particle Systems for Bayesian Inference: Computational Approaches (Q4995111) (← links)
- Stein Variational Reduced Basis Bayesian Inversion (Q4997362) (← links)
- Derivative-Free Bayesian Inversion Using Multiscale Dynamics (Q5037770) (← links)
- Random Batch Methods for Classical and Quantum Interacting Particle Systems and Statistical Samplings (Q5054578) (← links)
- Particle dual averaging: optimization of mean field neural network with global convergence rate analysis* (Q5055425) (← links)
- Stein Variational Gradient Descent on Infinite-Dimensional Space and Applications to Statistical Inverse Problems (Q5102236) (← links)
- Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler (Q5109769) (← links)
- Physics-Informed Probabilistic Learning of Linear Embeddings of Nonlinear Dynamics with Guaranteed Stability (Q5109771) (← links)
- Mean Field Limits for Interacting Diffusions with Colored Noise: Phase Transitions and Spectral Numerical Methods (Q5150070) (← links)
- Data assimilation: The Schrödinger perspective (Q5230525) (← links)
- Ensemble Kalman Sampler: Mean-field Limit and Convergence Analysis (Q5858114) (← links)
- Birth–death dynamics for sampling: global convergence, approximations and their asymptotics (Q6050829) (← links)
- Stein variational gradient descent with learned direction (Q6124701) (← links)
- A blob method for inhomogeneous diffusion with applications to multi-agent control and sampling (Q6133439) (← links)
- Stein variational gradient descent: many-particle and long-time asymptotics (Q6194470) (← links)
- Variational methods for evolution. Abstracts from the workshop held December 5--8, 2023 (Q6613401) (← links)
- Covariance-modulated optimal transport and gradient flows (Q6660122) (← links)
- Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data (Q6664473) (← links)
- Homotopy relaxation training algorithms for infinite-width two-layer ReLU neural networks (Q6665313) (← links)
