Saved in:
| Main Authors: | Jinng, Yunpeng, Liu, Qunfeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.04479 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Gradient-Normalized Smoothness for Optimization with Approximate Hessians
by: Semenov, Andrei, et al.
Published: (2025)
by: Semenov, Andrei, et al.
Published: (2025)
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
by: Garber, Dan, et al.
Published: (2022)
by: Garber, Dan, et al.
Published: (2022)
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
by: Garber, Dan, et al.
Published: (2022)
by: Garber, Dan, et al.
Published: (2022)
Adaptive Optimization via Momentum on Variance-Normalized Gradients
by: Patitucci, Francisco, et al.
Published: (2026)
by: Patitucci, Francisco, et al.
Published: (2026)
Compact Lifted Relaxations for Low-Rank Optimization
by: Cory-Wright, Ryan, et al.
Published: (2026)
by: Cory-Wright, Ryan, et al.
Published: (2026)
Low-Rank Extragradient Methods for Scalable Semidefinite Optimization
by: Garber, Dan, et al.
Published: (2024)
by: Garber, Dan, et al.
Published: (2024)
Riemannian Optimization for Hadamard Products of Low-Rank Matrices
by: Jawanpuria, Pratik, et al.
Published: (2026)
by: Jawanpuria, Pratik, et al.
Published: (2026)
Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization
by: Yang, Yufeng, et al.
Published: (2024)
by: Yang, Yufeng, et al.
Published: (2024)
From Learning to Optimize to Learning Optimization Algorithms
by: Castera, Camille, et al.
Published: (2024)
by: Castera, Camille, et al.
Published: (2024)
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
by: Gong, Xiaochuan, et al.
Published: (2024)
by: Gong, Xiaochuan, et al.
Published: (2024)
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
by: Gong, Xiaochuan, et al.
Published: (2025)
by: Gong, Xiaochuan, et al.
Published: (2025)
Online Convex Optimization with Heavy Tails: Old Algorithms, New Regrets, and Applications
by: Liu, Zijian
Published: (2025)
by: Liu, Zijian
Published: (2025)
Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm
by: Wu, Yuman, et al.
Published: (2026)
by: Wu, Yuman, et al.
Published: (2026)
A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints
by: Wang, Lei, et al.
Published: (2025)
by: Wang, Lei, et al.
Published: (2025)
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness
by: Gong, Xiaochuan, et al.
Published: (2025)
by: Gong, Xiaochuan, et al.
Published: (2025)
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
by: Wang, Lei, et al.
Published: (2022)
by: Wang, Lei, et al.
Published: (2022)
Optimizing Input Data Collection for Ranking and Selection
by: Song, Eunhye, et al.
Published: (2025)
by: Song, Eunhye, et al.
Published: (2025)
A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
by: Meng, Qing-xin, et al.
Published: (2025)
by: Meng, Qing-xin, et al.
Published: (2025)
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
by: Hao, Jie, et al.
Published: (2024)
by: Hao, Jie, et al.
Published: (2024)
Optimization and Generalization Guarantees for Weight Normalization
by: Cisneros-Velarde, Pedro, et al.
Published: (2024)
by: Cisneros-Velarde, Pedro, et al.
Published: (2024)
Explicit and Non-asymptotic Query Complexities of Rank-Based Zeroth-order Algorithm on Stochastic Smooth Functions
by: Ye, Haishan
Published: (2025)
by: Ye, Haishan
Published: (2025)
Optimization Benchmark for Diffusion Models on Dynamical Systems
by: Schaipp, Fabian
Published: (2025)
by: Schaipp, Fabian
Published: (2025)
Shuffling Momentum Gradient Algorithm for Convex Optimization
by: Tran, Trang H., et al.
Published: (2024)
by: Tran, Trang H., et al.
Published: (2024)
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
by: Gong, Xiaochuan, et al.
Published: (2024)
by: Gong, Xiaochuan, et al.
Published: (2024)
Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness
by: Crawshaw, Michael, et al.
Published: (2025)
by: Crawshaw, Michael, et al.
Published: (2025)
humancompatible.train: Implementing Optimization Algorithms for Stochastically-Constrained Stochastic Optimization Problems
by: Kliachkin, Andrii, et al.
Published: (2025)
by: Kliachkin, Andrii, et al.
Published: (2025)
Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise
by: Upadhyay, Antesh, et al.
Published: (2026)
by: Upadhyay, Antesh, et al.
Published: (2026)
Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
by: Mehmood, Sheheryar, et al.
Published: (2024)
by: Mehmood, Sheheryar, et al.
Published: (2024)
Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
by: Sambharya, Rajiv, et al.
Published: (2024)
by: Sambharya, Rajiv, et al.
Published: (2024)
An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints
by: Lekeufack, Jordan, et al.
Published: (2024)
by: Lekeufack, Jordan, et al.
Published: (2024)
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2023)
by: Sinha, Abhishek, et al.
Published: (2023)
Fully First-Order Algorithms for Online Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026)
by: Jia, Tingkai, et al.
Published: (2026)
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
by: Santoni, Maria Laura, et al.
Published: (2023)
by: Santoni, Maria Laura, et al.
Published: (2023)
From PowerSGD to PowerSGD+: Low-Rank Gradient Compression for Distributed Optimization with Convergence Guarantees
by: Xie, Shengping, et al.
Published: (2025)
by: Xie, Shengping, et al.
Published: (2025)
A Trust-Region Algorithm for Noisy Equality Constrained Optimization
by: Sun, Shigeng, et al.
Published: (2024)
by: Sun, Shigeng, et al.
Published: (2024)
Scalable DC Optimization via Adaptive Frank-Wolfe Algorithms
by: Pokutta, Sebastian
Published: (2025)
by: Pokutta, Sebastian
Published: (2025)
A Tight Theory of Error Feedback Algorithms in Distributed Optimization
by: Thomsen, Daniel Berg, et al.
Published: (2026)
by: Thomsen, Daniel Berg, et al.
Published: (2026)
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
by: Zhang, Liang, et al.
Published: (2023)
by: Zhang, Liang, et al.
Published: (2023)
Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
by: Soma, Tasuku, et al.
Published: (2022)
by: Soma, Tasuku, et al.
Published: (2022)
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
Similar Items
-
Gradient-Normalized Smoothness for Optimization with Approximate Hessians
by: Semenov, Andrei, et al.
Published: (2025) -
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
by: Garber, Dan, et al.
Published: (2022) -
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
by: Garber, Dan, et al.
Published: (2022) -
Adaptive Optimization via Momentum on Variance-Normalized Gradients
by: Patitucci, Francisco, et al.
Published: (2026) -
Compact Lifted Relaxations for Low-Rank Optimization
by: Cory-Wright, Ryan, et al.
Published: (2026)