:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Xianyu, Xu, Huan, Huang, Xiaolin, Shang, Chao
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Optimization and Control Machine Learning
Accesso online:	https://arxiv.org/abs/2604.20147
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
di: Shi, Qiankun, et al.
Pubblicazione: (2025)

Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization
di: Yang, Yufeng, et al.
Pubblicazione: (2025)

Differentiable Distributionally Robust Optimization Layers
di: Ma, Xutao, et al.
Pubblicazione: (2024)

Distributionally Robust Multi-Objective Optimization
di: Yang, Yufeng, et al.
Pubblicazione: (2026)

Distributionally Robust Optimization
di: Kuhn, Daniel, et al.
Pubblicazione: (2024)

Optimal Rates for Robust Stochastic Convex Optimization
di: Gao, Changyu, et al.
Pubblicazione: (2024)

Distributionally-Robust Learning to Optimize
di: Ranjan, Vinit, et al.
Pubblicazione: (2026)

Nonlinear Distributionally Robust Optimization
di: Sheriff, Mohammed Rayyan, et al.
Pubblicazione: (2023)

Sinkhorn Distributionally Robust Optimization
di: Wang, Jie, et al.
Pubblicazione: (2021)

Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback
di: Wang, Yikai, et al.
Pubblicazione: (2026)

Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
di: He, Zhiyu, et al.
Pubblicazione: (2025)

On Generalization and Regularization via Wasserstein Distributionally Robust Optimization
di: Wu, Qinyu, et al.
Pubblicazione: (2022)

Group Distributionally Robust Optimization with Flexible Sample Queries
di: Bai, Haomin, et al.
Pubblicazione: (2025)

Wasserstein Distributionally Robust Regret Optimization
di: Fiechtner, Lukas-Benedikt, et al.
Pubblicazione: (2025)

Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
di: Attia, Amit, et al.
Pubblicazione: (2025)

Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization
di: Guo, Luyao, et al.
Pubblicazione: (2023)

Unifying Distributionally Robust Optimization via Optimal Transport Theory
di: Blanchet, Jose, et al.
Pubblicazione: (2023)

Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
di: Im, Hyungki, et al.
Pubblicazione: (2025)

Sinkhorn Distributionally Robust State Estimation via System Level Synthesis
di: Feng, Yulin, et al.
Pubblicazione: (2026)

Asynchronous and Stochastic Distributed Resource Allocation
di: Li, Qiang, et al.
Pubblicazione: (2025)

Data-driven Multistage Distributionally Robust Linear Optimization with Nested Distance
di: Gao, Rui, et al.
Pubblicazione: (2024)

Gradient Flow Sampler-based Distributionally Robust Optimization
di: Xu, Zusen, et al.
Pubblicazione: (2025)

Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization
di: Li, Huan, et al.
Pubblicazione: (2021)

Improved Learning Rates for Stochastic Optimization
di: Li, Shaojie, et al.
Pubblicazione: (2021)

Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
di: Soma, Tasuku, et al.
Pubblicazione: (2022)

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
di: Kuhn, Daniel, et al.
Pubblicazione: (2019)

Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
di: Srinivasan, Anutam, et al.
Pubblicazione: (2026)

Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
di: Chen, Ziyi, et al.
Pubblicazione: (2025)

Stochastic-Constrained Stochastic Optimization with Markovian Data
di: Kim, Yeongjong, et al.
Pubblicazione: (2023)

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

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

humancompatible.train: Implementing Optimization Algorithms for Stochastically-Constrained Stochastic Optimization Problems
di: Kliachkin, Andrii, et al.
Pubblicazione: (2025)

Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
di: Sordello, Matteo, et al.
Pubblicazione: (2019)

Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces
di: Zhu, Linglingzhi, et al.
Pubblicazione: (2024)

Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks
di: Hu, Jie, et al.
Pubblicazione: (2024)

Communication-Efficient Stochastic Distributed Learning
di: Ren, Xiaoxing, et al.
Pubblicazione: (2025)

Clapping: Removing Per-sample Storage for Pipeline Parallel Distributed Optimization with Communication Compression
di: Kong, Boao, et al.
Pubblicazione: (2025)

Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach
di: Noori, Amir, et al.
Pubblicazione: (2024)

Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization
di: Gu, Zhihao, et al.
Pubblicazione: (2024)

Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
di: Huang, Ruichuan, et al.
Pubblicazione: (2025)