conftrace_

wasserstein gradient flow

35 papers

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Also known as

WGF

Co-occurring keywords

optimal transport (948) particle method (17) variational inference (2069) gradient descent (1144) probability distribution (265) neural network (6616) stein variational gradient descent (49) distributionally robust optimization (185) uncertainty quantification (1393) bayesian inference (1907)

Papers

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds JMLR 2025
Particle Semi-Implicit Variational Inference NIPS 2024
Global Convergence in Training Large-Scale Transformers NIPS 2024
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective NIPS 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024
Symmetries in Overparametrized Neural Networks: A Mean Field View NIPS 2024
Normalizing flow neural networks by JKO scheme NIPS 2023
Self-Consistent Velocity Matching of Probability Flows NIPS 2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows ICML 2023
Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow NIPS 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NIPS 2023
Improved analysis for a proximal algorithm for sampling COLT 2022
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework IJCAI 2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution ICML 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022
Variational inference via Wasserstein gradient flows NIPS 2022
Large-Scale Wasserstein Gradient Flows NIPS 2021
Repulsive Deep Ensembles are Bayesian NIPS 2021
Dataset Dynamics via Gradient Flows in Probability Space ICML 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
Kernel Stein Discrepancy Descent ICML 2021
Modified Frank Wolfe in Probability Space NIPS 2021
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models AISTATS 2020