Guardado en:
| Autores principales: | Pinheiro, Diogo, Oliveira, M. Rosário, Kravchenko, Igor, Oliveira, Lina |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2512.11945 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Location and association measures for interval-valued data based on Mallows' distance
por: Oliveira, M. Rosário, et al.
Publicado: (2024)
por: Oliveira, M. Rosário, et al.
Publicado: (2024)
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
por: Bing, Xin, et al.
Publicado: (2022)
por: Bing, Xin, et al.
Publicado: (2022)
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
por: Zhang, Yonghan, et al.
Publicado: (2025)
por: Zhang, Yonghan, et al.
Publicado: (2025)
Interpretable Deep Regression Models with Interval-Censored Failure Time Data
por: Yuan, Changhui, et al.
Publicado: (2025)
por: Yuan, Changhui, et al.
Publicado: (2025)
Query Complexity of Classical and Quantum Channel Discrimination
por: Nuradha, Theshani, et al.
Publicado: (2025)
por: Nuradha, Theshani, et al.
Publicado: (2025)
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
por: Fan, Jianqing, et al.
Publicado: (2023)
por: Fan, Jianqing, et al.
Publicado: (2023)
Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
Mean Testing under Truncation beyond Gaussian
por: Wang, Yuhao, et al.
Publicado: (2026)
por: Wang, Yuhao, et al.
Publicado: (2026)
Adaptive Confidence Intervals in Efron's Gaussian Two-Groups Model
por: Wang, Qiaosen, et al.
Publicado: (2026)
por: Wang, Qiaosen, et al.
Publicado: (2026)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
por: Ge, Jiawei, et al.
Publicado: (2024)
por: Ge, Jiawei, et al.
Publicado: (2024)
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
por: Shen, Ye, et al.
Publicado: (2021)
por: Shen, Ye, et al.
Publicado: (2021)
On Nonasymptotic Confidence Intervals for Treatment Effects in Randomized Experiments
por: Sandoval, Ricardo J., et al.
Publicado: (2026)
por: Sandoval, Ricardo J., et al.
Publicado: (2026)
Complexity of Non-Log-Concave Sampling in Fisher Information
por: Chewi, Sinho, et al.
Publicado: (2026)
por: Chewi, Sinho, et al.
Publicado: (2026)
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
por: Kalavasis, Alkis, et al.
Publicado: (2024)
por: Kalavasis, Alkis, et al.
Publicado: (2024)
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality
por: Wibisono, Andre
Publicado: (2025)
por: Wibisono, Andre
Publicado: (2025)
Quantum Fisher information matrices from Rényi relative entropies
por: Wilde, Mark M.
Publicado: (2025)
por: Wilde, Mark M.
Publicado: (2025)
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
por: Carrillo, José A., et al.
Publicado: (2024)
por: Carrillo, José A., et al.
Publicado: (2024)
Treatment Effect Estimation with Observational Network Data using Machine Learning
por: Emmenegger, Corinne, et al.
Publicado: (2022)
por: Emmenegger, Corinne, et al.
Publicado: (2022)
$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
por: Passeggeri, Riccardo, et al.
Publicado: (2026)
por: Passeggeri, Riccardo, et al.
Publicado: (2026)
A Geometric Analysis of PCA
por: Hanchi, Ayoub El, et al.
Publicado: (2025)
por: Hanchi, Ayoub El, et al.
Publicado: (2025)
Nonparametric Factor Analysis and Beyond
por: Zheng, Yujia, et al.
Publicado: (2025)
por: Zheng, Yujia, et al.
Publicado: (2025)
Generalization Analysis for Classification on Korobov Space
por: Liu, Yuqing
Publicado: (2025)
por: Liu, Yuqing
Publicado: (2025)
Analysis of Semi-Supervised Learning on Hypergraphs
por: Weihs, Adrien, et al.
Publicado: (2025)
por: Weihs, Adrien, et al.
Publicado: (2025)
Optimal Convergence Analysis of DDPM for General Distributions
por: Jiao, Yuchen, et al.
Publicado: (2025)
por: Jiao, Yuchen, et al.
Publicado: (2025)
Error Analysis of Discrete Flow with Generator Matching
por: Wan, Zhengyan, et al.
Publicado: (2025)
por: Wan, Zhengyan, et al.
Publicado: (2025)
Information-theoretic Generalization Analysis for Expected Calibration Error
por: Futami, Futoshi, et al.
Publicado: (2024)
por: Futami, Futoshi, et al.
Publicado: (2024)
Topological Analysis for Detecting Anomalies (TADA) in Time Series
por: Chazal, Frédéric, et al.
Publicado: (2024)
por: Chazal, Frédéric, et al.
Publicado: (2024)
Confidence Sequences for Generalized Linear Models via Regret Analysis
por: Clerico, Eugenio, et al.
Publicado: (2025)
por: Clerico, Eugenio, et al.
Publicado: (2025)
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
por: Farghly, Tyler, et al.
Publicado: (2025)
por: Farghly, Tyler, et al.
Publicado: (2025)
Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev
por: Chewi, Sinho, et al.
Publicado: (2021)
por: Chewi, Sinho, et al.
Publicado: (2021)
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
por: Chakraborty, Saptarshi, et al.
Publicado: (2024)
por: Chakraborty, Saptarshi, et al.
Publicado: (2024)
Algebraic Geometrical Analysis of Metropolis Algorithm When Parameters Are Non-identifiable
por: Nagata, Kenji, et al.
Publicado: (2024)
por: Nagata, Kenji, et al.
Publicado: (2024)
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
por: Genans, Ferdinand, et al.
Publicado: (2025)
por: Genans, Ferdinand, et al.
Publicado: (2025)
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
por: Javanmard, Adel, et al.
Publicado: (2025)
por: Javanmard, Adel, et al.
Publicado: (2025)
Neural Drift Estimation for Ergodic Diffusions: Non-parametric Analysis and Numerical Exploration
por: Di Gregorio, Simone, et al.
Publicado: (2025)
por: Di Gregorio, Simone, et al.
Publicado: (2025)
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model
por: Shen, Bo, et al.
Publicado: (2020)
por: Shen, Bo, et al.
Publicado: (2020)
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
por: Khellaf, Rémi, et al.
Publicado: (2024)
por: Khellaf, Rémi, et al.
Publicado: (2024)
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
por: Latourelle-Vigeant, Hugo, et al.
Publicado: (2026)
por: Latourelle-Vigeant, Hugo, et al.
Publicado: (2026)
A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data
por: Chakraborty, Saptarshi, et al.
Publicado: (2024)
por: Chakraborty, Saptarshi, et al.
Publicado: (2024)
Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
por: Zhang, Anderson Y., et al.
Publicado: (2022)
por: Zhang, Anderson Y., et al.
Publicado: (2022)
Ejemplares similares
-
Location and association measures for interval-valued data based on Mallows' distance
por: Oliveira, M. Rosário, et al.
Publicado: (2024) -
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
por: Bing, Xin, et al.
Publicado: (2022) -
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
por: Zhang, Yonghan, et al.
Publicado: (2025) -
Interpretable Deep Regression Models with Interval-Censored Failure Time Data
por: Yuan, Changhui, et al.
Publicado: (2025) -
Query Complexity of Classical and Quantum Channel Discrimination
por: Nuradha, Theshani, et al.
Publicado: (2025)