Efficient and Stable Multi-Dimensional Kolmogorov-Smirnov Distance
Fuente:
arXiv
Saved in:
| Main Authors: | Jacobs, Peter Matthew, Namjoo, Foad, Phillips, Jeff M. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
No Dimensional Sampling Coresets for Classification
by: Alishahi, Meysam, et al.
Published: (2024)
by: Alishahi, Meysam, et al.
Published: (2024)
Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation
by: Jacobs, Peter Matthew, et al.
Published: (2026)
by: Jacobs, Peter Matthew, et al.
Published: (2026)
Hardness of High-Dimensional Linear Classification
by: Munteanu, Alexander, et al.
Published: (2026)
by: Munteanu, Alexander, et al.
Published: (2026)
Dimension-Independent Kernel ε-Covers
by: Phillips, Jeff M., et al.
Published: (2023)
by: Phillips, Jeff M., et al.
Published: (2023)
Understanding and Mitigating Dataset Corruption in LLM Steering
by: Anderson, Cullen, et al.
Published: (2026)
by: Anderson, Cullen, et al.
Published: (2026)
Stable Trajectory Clustering: An Efficient Split and Merge Algorithm
by: Rahmani, Atieh, et al.
Published: (2025)
by: Rahmani, Atieh, et al.
Published: (2025)
Classifiers in High Dimensional Hilbert Metrics
by: Acharya, Aditya, et al.
Published: (2026)
by: Acharya, Aditya, et al.
Published: (2026)
Metricizing the Euclidean Space towards Desired Distance Relations in Point Clouds
by: Rass, Stefan, et al.
Published: (2022)
by: Rass, Stefan, et al.
Published: (2022)
Hierarchical Neural Surfaces for 3D Mesh Compression
by: Pentapati, Sai Karthikey, et al.
Published: (2025)
by: Pentapati, Sai Karthikey, et al.
Published: (2025)
Steinhaus Filtration and Stable Paths in the Mapper
by: Arendt, Dustin L., et al.
Published: (2019)
by: Arendt, Dustin L., et al.
Published: (2019)
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers
by: Haviv, Doron, et al.
Published: (2024)
by: Haviv, Doron, et al.
Published: (2024)
Kolmogorov-Smirnov GAN
by: Falkiewicz, Maciej, et al.
Published: (2024)
by: Falkiewicz, Maciej, et al.
Published: (2024)
Fused Gromov-Wasserstein Distance with Feature Selection
by: Lee, Harlin, et al.
Published: (2026)
by: Lee, Harlin, et al.
Published: (2026)
Euclidean Embedding of Data Using Local Distances
by: Arabadjis, Dimitris
Published: (2026)
by: Arabadjis, Dimitris
Published: (2026)
Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction
by: Clémot, Mattéo, et al.
Published: (2025)
by: Clémot, Mattéo, et al.
Published: (2025)
Multi-Swap $k$-Means++
by: Beretta, Lorenzo, et al.
Published: (2023)
by: Beretta, Lorenzo, et al.
Published: (2023)
Score Design for Multi-Criteria Incentivization
by: Kabra, Anmol, et al.
Published: (2024)
by: Kabra, Anmol, et al.
Published: (2024)
Provable Non-Convex Euclidean Distance Matrix Completion: Geometry, Reconstruction, and Robustness
by: Smith, Chandler, et al.
Published: (2025)
by: Smith, Chandler, et al.
Published: (2025)
Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds
by: Wagner, Hubert, et al.
Published: (2024)
by: Wagner, Hubert, et al.
Published: (2024)
A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction
by: May, Nathan H., et al.
Published: (2023)
by: May, Nathan H., et al.
Published: (2023)
Using Kolmogorov-Smirnov Distance for Measuring Distribution Shift in Machine Learning
by: Tonguz, Ozan K., et al.
Published: (2025)
by: Tonguz, Ozan K., et al.
Published: (2025)
Continuous Edit Distance, Geodesics and Barycenters of Time-varying Persistence Diagrams
by: Tchitchek, Sebastien, et al.
Published: (2025)
by: Tchitchek, Sebastien, et al.
Published: (2025)
$k$-PCA for (non-squared) Euclidean Distances: Polynomial Time Approximation
by: Greenhut, Daniel, et al.
Published: (2025)
by: Greenhut, Daniel, et al.
Published: (2025)
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
by: Loiseaux, David, et al.
Published: (2023)
by: Loiseaux, David, et al.
Published: (2023)
Graph-Based Nearest-Neighbor Search without the Spread
by: Giliberti, Jeff, et al.
Published: (2026)
by: Giliberti, Jeff, et al.
Published: (2026)
Breaking the Curse of Dimensionality: On the Stability of Modern Vector Retrieval
by: Lakshman, Vihan, et al.
Published: (2025)
by: Lakshman, Vihan, et al.
Published: (2025)
Trajectory Minimum Touching Ball
by: Phillips, Jeff M., et al.
Published: (2025)
by: Phillips, Jeff M., et al.
Published: (2025)
Computing distances and means on manifolds with a metric-constrained Eikonal approach
by: Kelshaw, Daniel, et al.
Published: (2024)
by: Kelshaw, Daniel, et al.
Published: (2024)
Local Averaging Accurately Distills Manifold Structure From Noisy Data
by: Shen, Yihan, et al.
Published: (2025)
by: Shen, Yihan, et al.
Published: (2025)
Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search
by: Spalding-Jamieson, Jack, et al.
Published: (2025)
by: Spalding-Jamieson, Jack, et al.
Published: (2025)
Certifying Robustness via Topological Representations
by: Agerberg, Jens, et al.
Published: (2025)
by: Agerberg, Jens, et al.
Published: (2025)
Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs
by: Ma, Guanqun, et al.
Published: (2025)
by: Ma, Guanqun, et al.
Published: (2025)
Using Reinforcement Learning to Optimize the Global and Local Crossing Number
by: Brand, Timo, et al.
Published: (2025)
by: Brand, Timo, et al.
Published: (2025)
Cellular Learning: Scattered Data Regression in High Dimensions via Voronoi Cells
by: Sastry, Shankar Prasad
Published: (2025)
by: Sastry, Shankar Prasad
Published: (2025)
Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
by: Arhami, Omid, et al.
Published: (2025)
by: Arhami, Omid, et al.
Published: (2025)
Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks
by: Yang, Menglin, et al.
Published: (2025)
by: Yang, Menglin, et al.
Published: (2025)
The Flood Complex: Large-Scale Persistent Homology on Millions of Points
by: Graf, Florian, et al.
Published: (2025)
by: Graf, Florian, et al.
Published: (2025)
Robust Barycenters of Persistence Diagrams
by: Sisouk, Keanu, et al.
Published: (2025)
by: Sisouk, Keanu, et al.
Published: (2025)
Topological Data Analysis for Unsupervised Anomaly Detection and Customer Segmentation on Banking Data
by: Barberi, Leonardo Aldo Alejandro, et al.
Published: (2025)
by: Barberi, Leonardo Aldo Alejandro, et al.
Published: (2025)
Topological Spatial Graph Coarsening
by: Calissano, Anna, et al.
Published: (2025)
by: Calissano, Anna, et al.
Published: (2025)
Similar Items
-
No Dimensional Sampling Coresets for Classification
by: Alishahi, Meysam, et al.
Published: (2024) -
Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation
by: Jacobs, Peter Matthew, et al.
Published: (2026) -
Hardness of High-Dimensional Linear Classification
by: Munteanu, Alexander, et al.
Published: (2026) -
Dimension-Independent Kernel ε-Covers
by: Phillips, Jeff M., et al.
Published: (2023) -
Understanding and Mitigating Dataset Corruption in LLM Steering
by: Anderson, Cullen, et al.
Published: (2026)