Saved in:
| Main Authors: | Fouladvand, Merham, Batra, Peuroly |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.27091 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Unrolled Meta-Learning for Multi-Coil and Multi-Modality MRI with Adaptive Optimization
by: Fouladvand, Merham, et al.
Published: (2025)
by: Fouladvand, Merham, et al.
Published: (2025)
Data-Efficient and Robust Task Selection for Meta-Learning
by: Zhan, Donglin, et al.
Published: (2024)
by: Zhan, Donglin, et al.
Published: (2024)
Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism
by: Lau, Tim Tsz-Kit, et al.
Published: (2024)
by: Lau, Tim Tsz-Kit, et al.
Published: (2024)
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
by: Zhan, Donglin, et al.
Published: (2025)
by: Zhan, Donglin, et al.
Published: (2025)
Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries
by: Nitschke, Paul, et al.
Published: (2026)
by: Nitschke, Paul, et al.
Published: (2026)
Adaptive Mitigation of Insider Threats via Off-Policy Learning
by: Xu, Gehui, et al.
Published: (2026)
by: Xu, Gehui, et al.
Published: (2026)
Robust and Adaptive Optimization under a Large Language Model Lens
by: Bertsimas, Dimitris, et al.
Published: (2024)
by: Bertsimas, Dimitris, et al.
Published: (2024)
AdaSwitch: An Adaptive Switching Meta-Algorithm for Learning-Augmented Bounded-Influence Problems
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games
by: Hongler, Clément, et al.
Published: (2026)
by: Hongler, Clément, et al.
Published: (2026)
Adaptive Extremum Seeking Control via the RMSprop Optimizer
by: McNamee, Patrick, et al.
Published: (2024)
by: McNamee, Patrick, et al.
Published: (2024)
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent
by: Ozkara, Kaan, et al.
Published: (2024)
by: Ozkara, Kaan, et al.
Published: (2024)
Meta-Learning the Optimal Mixture of Strategies for Online Portfolio Selection
by: Shen, Jiayu, et al.
Published: (2025)
by: Shen, Jiayu, et al.
Published: (2025)
TaskMet: Task-Driven Metric Learning for Model Learning
by: Bansal, Dishank, et al.
Published: (2023)
by: Bansal, Dishank, et al.
Published: (2023)
Adaptive Control of Positive Systems with Application to Learning SSP
by: Bencherki, Fethi, et al.
Published: (2024)
by: Bencherki, Fethi, et al.
Published: (2024)
Adaptively Learning Memory Incorporating PSO
by: Shchyrba, Dmytro, et al.
Published: (2024)
by: Shchyrba, Dmytro, et al.
Published: (2024)
Accelerating Adaptive Systems via Normalized Parameter Estimation Laws
by: Boveiri, Mohammad, et al.
Published: (2025)
by: Boveiri, Mohammad, et al.
Published: (2025)
Unsupervised Point Cloud Pre-Training via Contrasting and Clustering
by: Mei, Guofeng, et al.
Published: (2022)
by: Mei, Guofeng, et al.
Published: (2022)
Adaptive Clutter Suppression via Convex Optimization
by: He, Yifan, et al.
Published: (2025)
by: He, Yifan, et al.
Published: (2025)
Adaptive Robust Control for Uncertain Systems with Ellipsoid-Set Learning
by: Ma, Xuehui, et al.
Published: (2026)
by: Ma, Xuehui, et al.
Published: (2026)
Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR
by: Zhao, Feiran, et al.
Published: (2024)
by: Zhao, Feiran, et al.
Published: (2024)
Adaptive Momentum and Nonlinear Damping for Neural Network Training
by: Karoni, Aikaterini, et al.
Published: (2026)
by: Karoni, Aikaterini, et al.
Published: (2026)
Safe Adaptive Feedback Control via Barrier States
by: Satharasi, Trivikram, et al.
Published: (2026)
by: Satharasi, Trivikram, et al.
Published: (2026)
Derivative-Free Optimization via Adaptive Sampling Strategies
by: Bollapragada, Raghu, et al.
Published: (2024)
by: Bollapragada, Raghu, et al.
Published: (2024)
Meta-Learning for Physically-Constrained Neural System Identification
by: Chakrabarty, Ankush, et al.
Published: (2025)
by: Chakrabarty, Ankush, et al.
Published: (2025)
Adapt and Stabilize, Then Learn and Optimize: A New Approach to Adaptive LQR
by: Fisher, Peter A., et al.
Published: (2025)
by: Fisher, Peter A., et al.
Published: (2025)
LORENZA: Enhancing Generalization in Low-Rank Gradient LLM Training via Efficient Zeroth-Order Adaptive SAM
by: Refael, Yehonathan, et al.
Published: (2025)
by: Refael, Yehonathan, et al.
Published: (2025)
Adaptive tracking MPC for nonlinear systems via online linear system identification
by: Strelnikova, Tatiana, et al.
Published: (2024)
by: Strelnikova, Tatiana, et al.
Published: (2024)
Towards Solutions of Manipulation Tasks via Optimal Control of Projected Dynamical Systems
by: Pozharskiy, Anton, et al.
Published: (2025)
by: Pozharskiy, Anton, et al.
Published: (2025)
Training Deep Learning Models with Norm-Constrained LMOs
by: Pethick, Thomas, et al.
Published: (2025)
by: Pethick, Thomas, et al.
Published: (2025)
GradPower: Powering Gradients for Faster Language Model Pre-Training
by: Wang, Jinbo, et al.
Published: (2025)
by: Wang, Jinbo, et al.
Published: (2025)
Adaptive Federated Learning to Optimize Integrated Flows in Cyber-Physical Data Centers
by: Liu, Junhong, et al.
Published: (2025)
by: Liu, Junhong, et al.
Published: (2025)
Free Final Time Adaptive Mesh Covariance Steering via Sequential Convex Programming
by: Pilipovsky, Joshua
Published: (2026)
by: Pilipovsky, Joshua
Published: (2026)
Adaptive Economic Model Predictive Control for linear systems with performance guarantees
by: Degner, Maximilian, et al.
Published: (2024)
by: Degner, Maximilian, et al.
Published: (2024)
Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems
by: Degner, Maximilian, et al.
Published: (2024)
by: Degner, Maximilian, et al.
Published: (2024)
Model-free Dynamic Mode Adaptive Control using Matrix RLS
by: Oveissi, Parham, et al.
Published: (2025)
by: Oveissi, Parham, et al.
Published: (2025)
Verifiable Model-Free Safety Filters via Reinforcement Learning
by: Yin, Bihui, et al.
Published: (2026)
by: Yin, Bihui, et al.
Published: (2026)
Interpreting Reinforcement Learning Model Behavior via Koopman with Control
by: Redman, William T.
Published: (2026)
by: Redman, William T.
Published: (2026)
Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
by: Wang, Zimeng, et al.
Published: (2026)
by: Wang, Zimeng, et al.
Published: (2026)
Constructing Deployment Scenarios for Reserve Deliverability via Adaptive Robust Optimization
by: Van Caelenberg, Guillaume, et al.
Published: (2026)
by: Van Caelenberg, Guillaume, et al.
Published: (2026)
A Data-Driven Prescribed-Time Control Framework via Koopman Operator and Adaptive Backstepping
by: Wu, Yue
Published: (2025)
by: Wu, Yue
Published: (2025)
Similar Items
-
Deep Unrolled Meta-Learning for Multi-Coil and Multi-Modality MRI with Adaptive Optimization
by: Fouladvand, Merham, et al.
Published: (2025) -
Data-Efficient and Robust Task Selection for Meta-Learning
by: Zhan, Donglin, et al.
Published: (2024) -
Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism
by: Lau, Tim Tsz-Kit, et al.
Published: (2024) -
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
by: Zhan, Donglin, et al.
Published: (2025) -
Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries
by: Nitschke, Paul, et al.
Published: (2026)