:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Hongxu, Wei, Ke, Yuan, Xiaoming, Luo, Luo
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2601.19730
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Optimal Asynchronous Stochastic Nonconvex Optimization under Heavy-Tailed Noise
por: Wu, Yidong, et al.
Publicado: (2026)

Near-Optimal Decentralized Stochastic Nonconvex Optimization with Heavy-Tailed Noise
por: Wang, Menglian, et al.
Publicado: (2026)

Stochastic Bilevel Optimization with Heavy-Tailed Noise
por: Liu, Zhuanghua, et al.
Publicado: (2025)

Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
por: Chen, Hongxu, et al.
Publicado: (2026)

Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
por: Yu, Dingzhi, et al.
Publicado: (2026)

Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping
por: Liu, Zijian, et al.
Publicado: (2024)

Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
por: Sun, Tao, et al.
Publicado: (2024)

Muon Converges under Heavy-Tailed Noise: Nonconvex Hölder-Smooth Empirical Risk Minimization
por: Iiduka, Hideaki
Publicado: (2026)

Efficient Distributed Optimization under Heavy-Tailed Noise
por: Lee, Su Hyeong, et al.
Publicado: (2025)

Federated Stochastic Minimax Optimization under Heavy-Tailed Noises
por: Zhang, Xinwen, et al.
Publicado: (2025)

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
por: Chen, Lesi, et al.
Publicado: (2023)

Decentralized Stochastic Nonconvex Optimization under the Relaxed Smoothness
por: Luo, Luo, et al.
Publicado: (2025)

Stochastic Weakly Convex Optimization Under Heavy-Tailed Noises
por: Zhu, Tianxi, et al.
Publicado: (2025)

An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
por: Chen, Lesi, et al.
Publicado: (2022)

Global Dynamics of Heavy-Tailed SGDs in Nonconvex Loss Landscape: Characterization and Control
por: Wang, Xingyu, et al.
Publicado: (2025)

On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization
por: Luo, Luo, et al.
Publicado: (2022)

Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise
por: Dang, Thanh, et al.
Publicado: (2025)

Asynchronous Heavy-Tailed Optimization
por: Sun, Junfei, et al.
Publicado: (2026)

Can SGD Handle Heavy-Tailed Noise?
por: Fatkhullin, Ilyas, et al.
Publicado: (2025)

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise
por: Zhang, Jiayu, et al.
Publicado: (2026)

Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
por: Puchkin, Nikita, et al.
Publicado: (2023)

Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise
por: Agrawal, Shubhada, et al.
Publicado: (2026)

Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance
por: Luo, Jiaqi, et al.
Publicado: (2023)

High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise
por: Gorbunov, Eduard, et al.
Publicado: (2021)

Robust Offline Reinforcement learning with Heavy-Tailed Rewards
por: Zhu, Jin, et al.
Publicado: (2023)

Understanding Robust Machine Learning for Nonparametric Regression with Heavy-Tailed Noise
por: Feng, Yunlong, et al.
Publicado: (2025)

Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits
por: Sadiev, Abdurakhmon, et al.
Publicado: (2025)

In-Expectation Convergence of Stochastic Gradient Methods under Heavy-Tailed Noise
por: Liu, Zijian
Publicado: (2026)

Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
por: Liu, Zijian
Publicado: (2025)

Convergence of Clipped-SGD for Convex $(L_0,L_1)$-Smooth Optimization with Heavy-Tailed Noise
por: Chezhegov, Savelii, et al.
Publicado: (2025)

TRAP: Tail-aware Ranking Attack for World-Model Planning
por: Duan, Siyuan, et al.
Publicado: (2026)

Tail Annealing for Heavy-Tailed Flow Matching
por: Pachebat, Jean
Publicado: (2026)

Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions
por: Wang, Tianming, et al.
Publicado: (2024)

Heavy-Tail Phenomenon in Decentralized SGD
por: Gurbuzbalaban, Mert, et al.
Publicado: (2022)

Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition
por: Choudhury, Sayantan, et al.
Publicado: (2026)

On the Performance of Differentially Private Optimization with Heavy-Tail Class Imbalance
por: Tang, Qiaoyue, et al.
Publicado: (2025)

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
por: Zhou, Dongruo, et al.
Publicado: (2018)

Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
por: Li, Jiaxing, et al.
Publicado: (2024)

Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise
por: Tani, Naoto, et al.
Publicado: (2026)

Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers
por: Sasai, Takeyuki, et al.
Publicado: (2024)