Saved in:
| Main Authors: | Routh, Vishal, Bai, Shuyang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.04118 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Conditional Independence under Infinite Measures and Poisson Point Processes
by: Bai, Shuyang, et al.
Published: (2026)
by: Bai, Shuyang, et al.
Published: (2026)
Structural Causal Models for Extremes: an Approach Based on Exponent Measures
by: Bai, Shuyang, et al.
Published: (2025)
by: Bai, Shuyang, et al.
Published: (2025)
Heavy-Tailed NGG Mixture Models
by: Ramirez, Vianey Palacios, et al.
Published: (2022)
by: Ramirez, Vianey Palacios, et al.
Published: (2022)
Tail Asymptotic of Heavy-Tail Risks with Elliptical Copula
by: Wang, Kai, et al.
Published: (2024)
by: Wang, Kai, et al.
Published: (2024)
Tail Index Estimation for Discrete Heavy-Tailed Distributions
by: Bertail, Patrice, et al.
Published: (2024)
by: Bertail, Patrice, et al.
Published: (2024)
Inference for Non-Stationary Heavy Tailed Time Series
by: Akashi, Fumiya, et al.
Published: (2022)
by: Akashi, Fumiya, et al.
Published: (2022)
Generalized Taylor's Law for Dependent and Heterogeneous Heavy-Tailed Data
by: Cheng, Pok Him, et al.
Published: (2025)
by: Cheng, Pok Him, et al.
Published: (2025)
Validity and Power of Heavy-Tailed Combination Tests under Asymptotic Dependence
by: Gui, Lin, et al.
Published: (2025)
by: Gui, Lin, et al.
Published: (2025)
Asymptotic Classification Error for Heavy-Tailed Renewal Processes
by: Rong, Xinhui, et al.
Published: (2024)
by: Rong, Xinhui, et al.
Published: (2024)
Aggregating Dependent Signals with Heavy-Tailed Combination Tests
by: Gui, Lin, et al.
Published: (2023)
by: Gui, Lin, et al.
Published: (2023)
The Spurious Factor Dilemma: Robust Inference in Heavy-Tailed Elliptical Factor Models
by: Hu, Jiang, et al.
Published: (2025)
by: Hu, Jiang, et al.
Published: (2025)
Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
by: Yu, Yifeng, et al.
Published: (2026)
by: Yu, Yifeng, et al.
Published: (2026)
Dimension-free Bounds for Sum of Dependent Matrices and Operators with Heavy-Tailed Distribution
by: Nakakita, Shogo, et al.
Published: (2022)
by: Nakakita, Shogo, et al.
Published: (2022)
A Short Note on the Efficiency of Markov Chains for Bayesian Linear Regression Models with Heavy-Tailed Errors
by: Hamura, Yasuyuki
Published: (2024)
by: Hamura, Yasuyuki
Published: (2024)
On the Exactness of SDP Relaxation for Quadratic Assignment Problem
by: Ling, Shuyang
Published: (2024)
by: Ling, Shuyang
Published: (2024)
Using Exponential Histograms to Approximate the Quantiles of Heavy- and Light-Tailed Data
by: Labo, Philip T.
Published: (2024)
by: Labo, Philip T.
Published: (2024)
Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation
by: Gupta, Shivam, et al.
Published: (2023)
by: Gupta, Shivam, et al.
Published: (2023)
Empirical limit theorems for Wiener chaos
by: Bai, Shuyang, et al.
Published: (2023)
by: Bai, Shuyang, et al.
Published: (2023)
Transfer Learning under Covariate Shift: Local $k$-Nearest Neighbours Regression with Heavy-Tailed Design
by: Zamolodtchikov, Petr, et al.
Published: (2024)
by: Zamolodtchikov, Petr, et al.
Published: (2024)
A Generative High Quantile Homogeneity Test Using Bahadur Representation for Heteroskedastic High Quantile Regression of Tail Dependent Time Series
by: Zhang, Ting, et al.
Published: (2026)
by: Zhang, Ting, et al.
Published: (2026)
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
by: He, Ye, et al.
Published: (2024)
by: He, Ye, et al.
Published: (2024)
From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks
by: Kothapalli, Vignesh, et al.
Published: (2024)
by: Kothapalli, Vignesh, et al.
Published: (2024)
A Simple and Optimal Policy Design with Safety against Heavy-Tailed Risk for Stochastic Bandits
by: Simchi-Levi, David, et al.
Published: (2022)
by: Simchi-Levi, David, et al.
Published: (2022)
Sparsified-Learning for High-Dimensional Heavy-Tailed Locally Stationary Time Series, Concentration and Oracle Inequalities
by: Wang, Yingjie, et al.
Published: (2025)
by: Wang, Yingjie, et al.
Published: (2025)
Distribution-consistency Structural Causal Models
by: Gong, Heyang, et al.
Published: (2024)
by: Gong, Heyang, et al.
Published: (2024)
Dynamic Structural Causal Models
by: Boeken, Philip, et al.
Published: (2024)
by: Boeken, Philip, et al.
Published: (2024)
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
by: Zhong, Ziliang Samuel, et al.
Published: (2024)
by: Zhong, Ziliang Samuel, et al.
Published: (2024)
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping
by: Şimşekli, Umut, et al.
Published: (2024)
by: Şimşekli, Umut, et al.
Published: (2024)
Heavy Tail Robust Estimation and Inference for Average Treatment Effects
by: Hill, Jonathan B., et al.
Published: (2024)
by: Hill, Jonathan B., et al.
Published: (2024)
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
by: Puchkin, Nikita, et al.
Published: (2023)
by: Puchkin, Nikita, et al.
Published: (2023)
On extremes for Gaussian subordination
by: Bai, Shuyang, et al.
Published: (2025)
by: Bai, Shuyang, et al.
Published: (2025)
On estimation and order selection for multivariate extremes via clustering
by: Deng, Shiyuan, et al.
Published: (2024)
by: Deng, Shiyuan, et al.
Published: (2024)
Higher-Order Causal Structure Learning with Additive Models
by: Enouen, James, et al.
Published: (2025)
by: Enouen, James, et al.
Published: (2025)
Causal Inference on Process Graphs, Part II: Causal Structure and Effect Identification
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
Detection and Reconstruction of a Random Hypergraph from Noisy Graph Projection
by: Gong, Shuyang, et al.
Published: (2025)
by: Gong, Shuyang, et al.
Published: (2025)
SCMD: A Kernel-Based Distance for Structural Causal Models to Quantify Transferability Across Environments
by: Goff, Théotime Le, et al.
Published: (2025)
by: Goff, Théotime Le, et al.
Published: (2025)
Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
by: Li, Ting, et al.
Published: (2026)
by: Li, Ting, et al.
Published: (2026)
Propagation of Input Tail Uncertainty in Rare-Event Estimation: A Light versus Heavy Tail Dichotomy
by: Huang, Zhiyuan, et al.
Published: (2023)
by: Huang, Zhiyuan, et al.
Published: (2023)
Operator Tail Densities of Multivariate Copulas
by: Li, Haijun
Published: (2025)
by: Li, Haijun
Published: (2025)
Measuring Tail Dependence in Linear Processes: Theory and Empirics
by: Datta, Debanjana, et al.
Published: (2026)
by: Datta, Debanjana, et al.
Published: (2026)
Similar Items
-
Conditional Independence under Infinite Measures and Poisson Point Processes
by: Bai, Shuyang, et al.
Published: (2026) -
Structural Causal Models for Extremes: an Approach Based on Exponent Measures
by: Bai, Shuyang, et al.
Published: (2025) -
Heavy-Tailed NGG Mixture Models
by: Ramirez, Vianey Palacios, et al.
Published: (2022) -
Tail Asymptotic of Heavy-Tail Risks with Elliptical Copula
by: Wang, Kai, et al.
Published: (2024) -
Tail Index Estimation for Discrete Heavy-Tailed Distributions
by: Bertail, Patrice, et al.
Published: (2024)