Kernel Quantile Embeddings and Associated Probability Metrics
Fuente:
arXiv
Saved in:
| Main Authors: | Naslidnyk, Masha, Chau, Siu Lun, Briol, François-Xavier, Muandet, Krikamol |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Kernel-Based Distances for Statistical Inference and Integration
by: Naslidnyk, Masha
Published: (2026)
by: Naslidnyk, Masha
Published: (2026)
Integral Imprecise Probability Metrics
by: Chau, Siu Lun, et al.
Published: (2025)
by: Chau, Siu Lun, et al.
Published: (2025)
When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
by: Caprio, Michele, et al.
Published: (2025)
by: Caprio, Michele, et al.
Published: (2025)
Nested Expectations with Kernel Quadrature
by: Chen, Zonghao, et al.
Published: (2025)
by: Chen, Zonghao, et al.
Published: (2025)
On the Robustness of Kernel Goodness-of-Fit Tests
by: Liu, Xing, et al.
Published: (2024)
by: Liu, Xing, et al.
Published: (2024)
Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
by: Mohammadi, Majid, et al.
Published: (2025)
by: Mohammadi, Majid, et al.
Published: (2025)
Truthful Elicitation of Imprecise Forecasts
by: Singh, Anurag, et al.
Published: (2025)
by: Singh, Anurag, et al.
Published: (2025)
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
by: Kremer, Heiner, et al.
Published: (2022)
by: Kremer, Heiner, et al.
Published: (2022)
Conditional Bayesian Quadrature
by: Chen, Zonghao, et al.
Published: (2024)
by: Chen, Zonghao, et al.
Published: (2024)
Domain Generalisation via Imprecise Learning
by: Singh, Anurag, et al.
Published: (2024)
by: Singh, Anurag, et al.
Published: (2024)
Performative Learning Theory
by: Rodemann, Julian, et al.
Published: (2026)
by: Rodemann, Julian, et al.
Published: (2026)
Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
by: Caprio, Michele, et al.
Published: (2026)
by: Caprio, Michele, et al.
Published: (2026)
Incentive Aware AI Regulations: A Credal Characterisation
by: Singh, Anurag, et al.
Published: (2026)
by: Singh, Anurag, et al.
Published: (2026)
Instrumental and Proximal Causal Inference with Gaussian Processes
by: Zhang, Yuqi, et al.
Published: (2026)
by: Zhang, Yuqi, et al.
Published: (2026)
Credal Two-Sample Tests of Epistemic Uncertainty
by: Chau, Siu Lun, et al.
Published: (2024)
by: Chau, Siu Lun, et al.
Published: (2024)
QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss-Legendre Quadrature
by: Mohammadi, Majid, et al.
Published: (2026)
by: Mohammadi, Majid, et al.
Published: (2026)
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
by: Mohammadi, Majid, et al.
Published: (2025)
by: Mohammadi, Majid, et al.
Published: (2025)
(Im)possibility of Collective Intelligence
by: Muandet, Krikamol
Published: (2022)
by: Muandet, Krikamol
Published: (2022)
Bayesian Optimization for Building Social-Influence-Free Consensus
by: Adachi, Masaki, et al.
Published: (2025)
by: Adachi, Masaki, et al.
Published: (2025)
Variance-Aware Estimation of Kernel Mean Embedding
by: Wolfer, Geoffrey, et al.
Published: (2022)
by: Wolfer, Geoffrey, et al.
Published: (2022)
A Measure-Theoretic Axiomatisation of Causality
by: Park, Junhyung, et al.
Published: (2023)
by: Park, Junhyung, et al.
Published: (2023)
Measuring Differences between Conditional Distributions using Kernel Embeddings
by: Moskvichev, Peter, et al.
Published: (2026)
by: Moskvichev, Peter, et al.
Published: (2026)
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)
by: Hanchi, Ayoub El, et al.
Published: (2024)
Online Quantile Regression for Nonparametric Additive Models
by: Zhan, Haoran
Published: (2026)
by: Zhan, Haoran
Published: (2026)
Deep Distributional Learning with Non-crossing Quantile Network
by: Shen, Guohao, et al.
Published: (2025)
by: Shen, Guohao, et al.
Published: (2025)
Asymptotic Theory and Phase Transitions for Variable Importance in Quantile Regression Forests
by: Nakamura, Tomoshige, et al.
Published: (2025)
by: Nakamura, Tomoshige, et al.
Published: (2025)
A Dictionary of Closed-Form Kernel Mean Embeddings
by: Briol, François-Xavier, et al.
Published: (2025)
by: Briol, François-Xavier, et al.
Published: (2025)
Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
by: Gu, Yi
Published: (2025)
by: Gu, Yi
Published: (2025)
Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities
by: Yang, Anita, et al.
Published: (2026)
by: Yang, Anita, et al.
Published: (2026)
Property Elicitation on Imprecise Probabilities
by: Bailie, James, et al.
Published: (2025)
by: Bailie, James, et al.
Published: (2025)
Direct Doubly Robust Estimation of Conditional Quantile Contrasts
by: Givens, Josh, et al.
Published: (2026)
by: Givens, Josh, et al.
Published: (2026)
Which Spaces can be Embedded in $L_p$-type Reproducing Kernel Banach Space? A Characterization via Metric Entropy
by: Lu, Yiping, et al.
Published: (2024)
by: Lu, Yiping, et al.
Published: (2024)
Uniform Kernel Prober
by: Mukherjee, Soumya, et al.
Published: (2025)
by: Mukherjee, Soumya, et al.
Published: (2025)
Supervised Kernel Thinning
by: Gong, Albert, et al.
Published: (2024)
by: Gong, Albert, et al.
Published: (2024)
Centrality Estimators for Probability Density Functions
by: Ziou, Djemel
Published: (2024)
by: Ziou, Djemel
Published: (2024)
Gaussian-Smoothed Sliced Probability Divergences
by: Alaya, Mokhtar Z., et al.
Published: (2024)
by: Alaya, Mokhtar Z., et al.
Published: (2024)
Scoring Rules and Calibration for Imprecise Probabilities
by: Fröhlich, Christian, et al.
Published: (2024)
by: Fröhlich, Christian, et al.
Published: (2024)
Random Features for Operator-Valued Kernels: Bridging Kernel Methods and Neural Operators
by: Nguyen, Mike, et al.
Published: (2026)
by: Nguyen, Mike, et al.
Published: (2026)
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024)
by: Bai, Ruiqi, et al.
Published: (2024)
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
by: Genans, Ferdinand, et al.
Published: (2025)
by: Genans, Ferdinand, et al.
Published: (2025)
Similar Items
-
Scalable Kernel-Based Distances for Statistical Inference and Integration
by: Naslidnyk, Masha
Published: (2026) -
Integral Imprecise Probability Metrics
by: Chau, Siu Lun, et al.
Published: (2025) -
When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
by: Caprio, Michele, et al.
Published: (2025) -
Nested Expectations with Kernel Quadrature
by: Chen, Zonghao, et al.
Published: (2025) -
On the Robustness of Kernel Goodness-of-Fit Tests
by: Liu, Xing, et al.
Published: (2024)