Imagen de Portada

Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rioux, Gabriel, Nitsure, Apoorva, Rigotti, Mattia, Greenewald, Kristjan, Mroueh, Youssef
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Risk Aware Benchmarking of Large Language Models
por: Nitsure, Apoorva, et al.
Publicado: (2023)

Distributional Preference Alignment of LLMs via Optimal Transport
por: Melnyk, Igor, et al.
Publicado: (2024)

Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
por: Mroueh, Youssef, et al.
Publicado: (2025)

Finite sample rates of convergence for the Bigraphical and Tensor graphical Lasso estimators
por: Zhou, Shuheng, et al.
Publicado: (2023)

Information Theoretic Guarantees For Policy Alignment In Large Language Models
por: Mroueh, Youssef
Publicado: (2024)

Estimation of Stochastic Optimal Transport Maps
por: Nietert, Sloan, et al.
Publicado: (2025)

Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
por: Queric, Simon, et al.
Publicado: (2026)

Beyond Uncertainty Sets: Leveraging Optimal Transport to Extend Conformal Predictive Distribution to Multivariate Settings
por: Ndiaye, Eugene
Publicado: (2025)

Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
por: Genans, Ferdinand, et al.
Publicado: (2025)

Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry
por: Zhang, Zhengxin, et al.
Publicado: (2024)

Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport
por: Ma, Rachel, et al.
Publicado: (2026)

Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
por: Gu, Anming, et al.
Publicado: (2024)

Optimal Transport with Heterogeneously Missing Data
por: Bleistein, Linus, et al.
Publicado: (2025)

Neural Estimation for Scaling Entropic Multimarginal Optimal Transport
por: Tsur, Dor, et al.
Publicado: (2025)

Optimal Transport under Group Fairness Constraints
por: Bleistein, Linus, et al.
Publicado: (2026)

Plugin Estimation of Smooth Optimal Transport Maps
por: Manole, Tudor, et al.
Publicado: (2021)

Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
por: Bateni, Borna, et al.
Publicado: (2025)

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
por: Ponnoprat, Donlapark, et al.
Publicado: (2026)

$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
por: Passeggeri, Riccardo, et al.
Publicado: (2026)

Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics
por: de Souza, Douglas Baptista, et al.
Publicado: (2024)

Minimax Rate-Optimal Algorithms for High-Dimensional Stochastic Linear Bandits
por: Liu, Jingyu, et al.
Publicado: (2025)

Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model
por: Dumitriu, Ioana, et al.
Publicado: (2023)

Optimal Transportation and Alignment Between Gaussian Measures
por: Dandapanthula, Sanjit, et al.
Publicado: (2025)

Interactive Learning of Single-Index Models via Stochastic Gradient Descent
por: Rajaraman, Nived, et al.
Publicado: (2026)

Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
por: Chatterjee, Sabyasachi, et al.
Publicado: (2019)

Training Diagonal Linear Networks with Stochastic Sharpness-Aware Minimization
por: Clara, Gabriel, et al.
Publicado: (2025)

One-step corrected projected stochastic gradient descent for statistical estimation
por: Brouste, Alexandre, et al.
Publicado: (2023)

Can Bayesian Neural Networks Make Confident Predictions?
por: Fisher, Katharine, et al.
Publicado: (2025)

Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets
por: Landa, Boris, et al.
Publicado: (2024)

Stochastic Optimization with Optimal Importance Sampling
por: Aolaritei, Liviu, et al.
Publicado: (2025)

A Simple and Optimal Policy Design with Safety against Heavy-Tailed Risk for Stochastic Bandits
por: Simchi-Levi, David, et al.
Publicado: (2022)

An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
por: Kur, Gil, et al.
Publicado: (2022)

Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
por: Agarwal, Medha, et al.
Publicado: (2026)

Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
por: Balakrishnan, Sivaraman, et al.
Publicado: (2025)

Multivariate Trend Filtering for Lattice Data
por: Sadhanala, Veeranjaneyulu, et al.
Publicado: (2021)

Deep Learning of Multivariate Extremes via a Geometric Representation
por: Murphy-Barltrop, Callum J. R., et al.
Publicado: (2024)

The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
por: Chaabouni, Youssef, et al.
Publicado: (2025)

Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
por: Chaabouni, Youssef, et al.
Publicado: (2026)

A Copula Graphical Model for Multi-Attribute Data using Optimal Transport
por: Zhang, Qi, et al.
Publicado: (2024)

Online and Offline Robust Multivariate Linear Regression
por: Godichon-Baggioni, Antoine, et al.
Publicado: (2024)