Towards Stability of Parameter-free Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Pang, Yijiang, Yu, Shuyang, Hoang, Bao, Zhou, Jiayu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Two Points Method for Deep Model Zeroth-order Optimization
by: Pang, Yijiang, et al.
Published: (2024)
by: Pang, Yijiang, et al.
Published: (2024)
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
by: Hoang, Bao, et al.
Published: (2024)
by: Hoang, Bao, et al.
Published: (2024)
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
by: Pang, Yijiang, et al.
Published: (2024)
by: Pang, Yijiang, et al.
Published: (2024)
Subject Harmonization of Multi‐Modal Digital Markers: Improved Detection of Mild Cognitive Impairment Using Language and Facial Expression
by: Bao Hoang, et al.
Published: (2024)
by: Bao Hoang, et al.
Published: (2024)
Asynchronous Distributed Optimization with Delay-free Parameters
by: Wu, Xuyang, et al.
Published: (2023)
by: Wu, Xuyang, et al.
Published: (2023)
Unsupervised Abnormal Stop Detection for Long Distance Coaches with Low-Frequency GPS
by: Deng, Jiaxin, et al.
Published: (2024)
by: Deng, Jiaxin, et al.
Published: (2024)
Heterogeneous Causal Learning for Optimizing Aggregated Functions in User Growth
by: Du, Shuyang, et al.
Published: (2025)
by: Du, Shuyang, et al.
Published: (2025)
Towards Understanding Adversarial Transferability in Federated Learning
by: Li, Yijiang, et al.
Published: (2023)
by: Li, Yijiang, et al.
Published: (2023)
Parameter-free Clipped Gradient Descent Meets Polyak
by: Takezawa, Yuki, et al.
Published: (2024)
by: Takezawa, Yuki, et al.
Published: (2024)
Improved Detection of Mild Cognitive Impairment from Temporal Language Markers Using Subject‐invariant Representation Learning using I‐CONECT data
by: Bao Hoang, et al.
Published: (2025)
by: Bao Hoang, et al.
Published: (2025)
Towards Systematic Generalization for Power Grid Optimization Problems
by: Memon, Zeeshan, et al.
Published: (2026)
by: Memon, Zeeshan, et al.
Published: (2026)
Less is More: Non-uniform Road Segments are Efficient for Bus Arrival Prediction
by: Huang, Zhen, et al.
Published: (2025)
by: Huang, Zhen, et al.
Published: (2025)
ToC: Tree-of-Claims Search with Multi-Agent Language Models
by: Yu, Shuyang, et al.
Published: (2025)
by: Yu, Shuyang, et al.
Published: (2025)
Continual Fine-Tuning with Provably Accurate and Parameter-Free Task Retrieval
by: Le, Hang Thi-Thuy, et al.
Published: (2026)
by: Le, Hang Thi-Thuy, et al.
Published: (2026)
NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
by: Xu, Jiayu, et al.
Published: (2026)
by: Xu, Jiayu, et al.
Published: (2026)
Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
by: Hong, Wanli, et al.
Published: (2024)
by: Hong, Wanli, et al.
Published: (2024)
Improving Learning to Optimize Using Parameter Symmetries
by: Zamir, Guy, et al.
Published: (2025)
by: Zamir, Guy, et al.
Published: (2025)
Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis
by: Zhao, Yuheng, et al.
Published: (2026)
by: Zhao, Yuheng, et al.
Published: (2026)
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
by: Pham, Cuong, et al.
Published: (2025)
by: Pham, Cuong, et al.
Published: (2025)
Parameter-free Mirror Descent
by: Jacobsen, Andrew, et al.
Published: (2022)
by: Jacobsen, Andrew, et al.
Published: (2022)
Amortized Conditional Independence Testing
by: Duong, Bao, et al.
Published: (2025)
by: Duong, Bao, et al.
Published: (2025)
Stabilizing distribution-free probabilistic forecasts
by: Van Belle, Jente, et al.
Published: (2026)
by: Van Belle, Jente, et al.
Published: (2026)
Generalized Orthogonal Procrustes Problem under Arbitrary Adversaries
by: Ling, Shuyang
Published: (2021)
by: Ling, Shuyang
Published: (2021)
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
by: Hoang, Vu Viet, et al.
Published: (2024)
by: Hoang, Vu Viet, et al.
Published: (2024)
Optimizing Specific and Shared Parameters for Efficient Parameter Tuning
by: Nguyen, Van-Anh, et al.
Published: (2025)
by: Nguyen, Van-Anh, et al.
Published: (2025)
Identifying Terrain Physical Parameters from Vision -- Towards Physical-Parameter-Aware Locomotion and Navigation
by: Chen, Jiaqi, et al.
Published: (2024)
by: Chen, Jiaqi, et al.
Published: (2024)
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
by: Nguyen, Kien X., et al.
Published: (2025)
by: Nguyen, Kien X., et al.
Published: (2025)
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption
by: Bose, Shourya, et al.
Published: (2024)
by: Bose, Shourya, et al.
Published: (2024)
PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks
by: Ta, Hoang-Thang, et al.
Published: (2025)
by: Ta, Hoang-Thang, et al.
Published: (2025)
Bayesian Optimization over Bounded Domains with the Beta Product Kernel
by: Nguyen, Huy Hoang, et al.
Published: (2025)
by: Nguyen, Huy Hoang, et al.
Published: (2025)
Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise
by: Zhang, Jiayu, et al.
Published: (2026)
by: Zhang, Jiayu, et al.
Published: (2026)
Molecular Lead Optimization via Agentic Tool Planning
by: Li, Lingxiao, et al.
Published: (2026)
by: Li, Lingxiao, et al.
Published: (2026)
Decomposed Direct Preference Optimization for Structure-Based Drug Design
by: Cheng, Xiwei, et al.
Published: (2024)
by: Cheng, Xiwei, et al.
Published: (2024)
Quantum Bayesian Optimization for Quality Improvement in Fuselage Assembly
by: Liu, Jiayu, et al.
Published: (2025)
by: Liu, Jiayu, et al.
Published: (2025)
A Mirror Descent Perspective of Smoothed Sign Descent
by: Wang, Shuyang, et al.
Published: (2024)
by: Wang, Shuyang, et al.
Published: (2024)
Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling Factor
by: Huang, Jiayu, et al.
Published: (2026)
by: Huang, Jiayu, et al.
Published: (2026)
CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs
by: Pan, Jingyu, et al.
Published: (2025)
by: Pan, Jingyu, et al.
Published: (2025)
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024)
by: Xue, Eric, et al.
Published: (2024)
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization
by: Zhao, Jiayu, et al.
Published: (2023)
by: Zhao, Jiayu, et al.
Published: (2023)
Similar Items
-
Stochastic Two Points Method for Deep Model Zeroth-order Optimization
by: Pang, Yijiang, et al.
Published: (2024) -
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization
by: Hoang, Bao, et al.
Published: (2024) -
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
by: Pang, Yijiang, et al.
Published: (2024) -
Subject Harmonization of Multi‐Modal Digital Markers: Improved Detection of Mild Cognitive Impairment Using Language and Facial Expression
by: Bao Hoang, et al.
Published: (2024) -
Asynchronous Distributed Optimization with Delay-free Parameters
by: Wu, Xuyang, et al.
Published: (2023)