conftrace_

probability measure

59 papers

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Co-occurring keywords

optimal transport (948) kernel methods (1097) wasserstein distance (417) reproducing kernel hilbert space (334) wasserstein barycenter (46) gradient flow (142) maximum mean discrepancy (164) gradient descent (1144) probability distribution (265) variational inference (2069)

Papers

Accelerating optimization over the space of probability measures JMLR 2025
Geodesic Slice Sampling on the Sphere JMLR 2025
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
Tangential Wasserstein Projections JMLR 2024
Characterization of translation invariant MMD on Rd and connections with Wasserstein distances JMLR 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
Non-geodesically-convex optimization in the Wasserstein space NIPS 2024
Functional Flow Matching AISTATS 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023
Efficient displacement convex optimization with particle gradient descent ICML 2023
Learning Rate Free Sampling in Constrained Domains NIPS 2023
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NIPS 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023
An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023
Supervised Training of Conditional Monge Maps NIPS 2022
On Transportation of Mini-batches: A Hierarchical Approach ICML 2022
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics AISTATS 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution NIPS 2022
Entropy Partial Transport with Tree Metrics: Theory and Practice AISTATS 2021
Fast and Smooth Interpolation on Wasserstein Space AISTATS 2021
Improving approximate optimal transport distances using quantization UAI 2021
On efficient multilevel Clustering via Wasserstein distances JMLR 2021
Modified Frank Wolfe in Probability Space NIPS 2021
A Functional Perspective on Learning Symmetric Functions with Neural Networks ICML 2021