Wasserstein Contraction of Coordinate Ascent Variational Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Caprio, Rocco, Corenflos, Adrien, Power, Sam |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
by: Caprio, Rocco, et al.
Published: (2024)
by: Caprio, Rocco, et al.
Published: (2024)
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity
by: Lavenant, Hugo, et al.
Published: (2024)
by: Lavenant, Hugo, et al.
Published: (2024)
Convergence rate of Tsallis entropic regularized optimal transport
by: Suguro, Takeshi, et al.
Published: (2023)
by: Suguro, Takeshi, et al.
Published: (2023)
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space
by: Chen, Zhengdao
Published: (2023)
by: Chen, Zhengdao
Published: (2023)
Quantitative rigidity of the Wasserstein contraction under convolution
by: Fathi, Max, et al.
Published: (2025)
by: Fathi, Max, et al.
Published: (2025)
Mirror Descent-Ascent for mean-field min-max problems
by: Lascu, Razvan-Andrei, et al.
Published: (2024)
by: Lascu, Razvan-Andrei, et al.
Published: (2024)
Weak optimal transport with unnormalized kernels
by: Choné, Philippe, et al.
Published: (2022)
by: Choné, Philippe, et al.
Published: (2022)
The ballistic limit of the log-Sobolev constant equals the Polyak-Łojasiewicz constant
by: Chewi, Sinho, et al.
Published: (2024)
by: Chewi, Sinho, et al.
Published: (2024)
Global Regularity Estimates for Optimal Transport via Entropic Regularisation
by: Gozlan, Nathael, et al.
Published: (2025)
by: Gozlan, Nathael, et al.
Published: (2025)
Least-Squares Problem Over Probability Measure Space
by: Li, Qin, et al.
Published: (2025)
by: Li, Qin, et al.
Published: (2025)
Frictional martingale optimal transport and robust hedging
by: Rai, Pratik
Published: (2025)
by: Rai, Pratik
Published: (2025)
Duality for the Adversarial Total Variation
by: Bungert, Leon, et al.
Published: (2026)
by: Bungert, Leon, et al.
Published: (2026)
Entropic regularization of Monge's problem
by: Nutz, Marcel, et al.
Published: (2026)
by: Nutz, Marcel, et al.
Published: (2026)
Growth estimates on optimal transport maps via concentration inequalities
by: Fathi, Max
Published: (2024)
by: Fathi, Max
Published: (2024)
Properties of Discrete Sliced Wasserstein Losses
by: Tanguy, Eloi, et al.
Published: (2023)
by: Tanguy, Eloi, et al.
Published: (2023)
Non-Lipschitz Inertial Contraction-Type Method for Monotone Variational Inclusion problems
by: Babu, Feeroz, et al.
Published: (2026)
by: Babu, Feeroz, et al.
Published: (2026)
Faster Computation of Entropic Optimal Transport via Stable Low Frequency Modes
by: Chhaibi, Reda, et al.
Published: (2025)
by: Chhaibi, Reda, et al.
Published: (2025)
Linear convergence of proximal descent schemes on the Wasserstein space
by: Lascu, Razvan-Andrei, et al.
Published: (2024)
by: Lascu, Razvan-Andrei, et al.
Published: (2024)
Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses
by: Tanguy, Eloi
Published: (2023)
by: Tanguy, Eloi
Published: (2023)
Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow
by: Li, Qin, et al.
Published: (2024)
by: Li, Qin, et al.
Published: (2024)
A Brenier Theorem on $(P_2 (...P_2(H)...), W_2 )$ and Applications to Adapted Transport
by: Beiglböck, Mathias, et al.
Published: (2025)
by: Beiglböck, Mathias, et al.
Published: (2025)
Generalized infinite dimensional Alpha-Procrustes based geometries
by: Goomanee, Salvish, et al.
Published: (2025)
by: Goomanee, Salvish, et al.
Published: (2025)
Fading memory and the convolution theorem
by: Ortega, Juan-Pablo, et al.
Published: (2024)
by: Ortega, Juan-Pablo, et al.
Published: (2024)
Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence
by: Chazal, Clémentine, et al.
Published: (2024)
by: Chazal, Clémentine, et al.
Published: (2024)
Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
by: Piening, Moritz, et al.
Published: (2026)
by: Piening, Moritz, et al.
Published: (2026)
Wasserstein Formulation of Reinforcement Learning. An Optimal Transport Perspective on Policy Optimization
by: Dus, Mathias
Published: (2026)
by: Dus, Mathias
Published: (2026)
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels
by: Altekrüger, Fabian, et al.
Published: (2023)
by: Altekrüger, Fabian, et al.
Published: (2023)
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients
by: Bruno, Stefano, et al.
Published: (2025)
by: Bruno, Stefano, et al.
Published: (2025)
Local Exponential Stability of Mean-Field Langevin Descent-Ascent in Wasserstein Space
by: Seo, Geuntaek, et al.
Published: (2026)
by: Seo, Geuntaek, et al.
Published: (2026)
Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows
by: Rux, Nicolaj, et al.
Published: (2025)
by: Rux, Nicolaj, et al.
Published: (2025)
Polynomial Scaling is Possible For Neural Operator Approximations of Structured Families of BSDEs
by: Furuya, Takashi, et al.
Published: (2024)
by: Furuya, Takashi, et al.
Published: (2024)
Neural Operators Can Play Dynamic Stackelberg Games
by: Alvarez, Guillermo, et al.
Published: (2024)
by: Alvarez, Guillermo, et al.
Published: (2024)
Fast convergence of the Expectation Maximization algorithm under a logarithmic Sobolev inequality
by: Caprio, Rocco, et al.
Published: (2024)
by: Caprio, Rocco, et al.
Published: (2024)
Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA
by: Zhang, Yixuan, et al.
Published: (2024)
by: Zhang, Yixuan, et al.
Published: (2024)
Control Occupation Kernel Regression for Nonlinear Control-Affine Systems
by: Abudia, Moad, et al.
Published: (2021)
by: Abudia, Moad, et al.
Published: (2021)
Constructive conditional normalizing flows
by: Geshkovski, Borjan, et al.
Published: (2026)
by: Geshkovski, Borjan, et al.
Published: (2026)
Constrained Density Estimation via Optimal Transport
by: Hu, Yinan, et al.
Published: (2026)
by: Hu, Yinan, et al.
Published: (2026)
DeepMartingale: Duality of the Optimal Stopping Problem with Expressivity and High-Dimensional Hedging
by: Ye, Junyan, et al.
Published: (2025)
by: Ye, Junyan, et al.
Published: (2025)
Langevin dynamics based algorithm e-TH$\varepsilon$O POULA for stochastic optimization problems with discontinuous stochastic gradient
by: Lim, Dong-Young, et al.
Published: (2022)
by: Lim, Dong-Young, et al.
Published: (2022)
Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks
by: Liang, Luxu, et al.
Published: (2024)
by: Liang, Luxu, et al.
Published: (2024)
Similar Items
-
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
by: Caprio, Rocco, et al.
Published: (2024) -
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity
by: Lavenant, Hugo, et al.
Published: (2024) -
Convergence rate of Tsallis entropic regularized optimal transport
by: Suguro, Takeshi, et al.
Published: (2023) -
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space
by: Chen, Zhengdao
Published: (2023) -
Quantitative rigidity of the Wasserstein contraction under convolution
by: Fathi, Max, et al.
Published: (2025)