Saved in:
| Main Authors: | Awad, Akram S., Ahmed, Shihab, Wang, Yue, Atia, George K. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.07921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Robust Reinforcement Learning with General Function Approximation
by: Ghosh, Debamita, et al.
Published: (2025)
by: Ghosh, Debamita, et al.
Published: (2025)
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning
by: Ghosh, Debamita, et al.
Published: (2025)
by: Ghosh, Debamita, et al.
Published: (2025)
CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning
by: Alinejad, Mahyar, et al.
Published: (2026)
by: Alinejad, Mahyar, et al.
Published: (2026)
Provably Sample-Efficient Robust Reinforcement Learning with Average Reward
by: Roch, Zachary, et al.
Published: (2025)
by: Roch, Zachary, et al.
Published: (2025)
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
by: Zhang, Chi, et al.
Published: (2025)
by: Zhang, Chi, et al.
Published: (2025)
Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)
RLAF: Reinforcement Learning from Automaton Feedback
by: Alinejad, Mahyar, et al.
Published: (2025)
by: Alinejad, Mahyar, et al.
Published: (2025)
Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards
by: Topper, Noah, et al.
Published: (2024)
by: Topper, Noah, et al.
Published: (2024)
Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
by: Heidarizadeh, Akram, et al.
Published: (2025)
by: Heidarizadeh, Akram, et al.
Published: (2025)
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
by: Singireddy, Suraj, et al.
Published: (2023)
by: Singireddy, Suraj, et al.
Published: (2023)
Selective Risk Certification for LLM Outputs via Information-Lift Statistics: PAC-Bayes, Robustness, and Skeleton Design
by: Akter, Sanjeda, et al.
Published: (2025)
by: Akter, Sanjeda, et al.
Published: (2025)
Stabilizing Policy Gradient Methods via Reward Profiling
by: Ahmed, Shihab, et al.
Published: (2025)
by: Ahmed, Shihab, et al.
Published: (2025)
Retinal Disease Classification from Fundus Images using CNN Transfer Learning
by: Akram, Ali
Published: (2026)
by: Akram, Ali
Published: (2026)
Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Robust Matrix Estimation with Side Information
by: Agarwal, Anish, et al.
Published: (2026)
by: Agarwal, Anish, et al.
Published: (2026)
Learning to Forget Attention: Memory Consolidation for Adaptive Compute Reduction
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Fuel Consumption Prediction: A Comparative Analysis of Machine Learning Paradigms
by: Akram, Ali
Published: (2026)
by: Akram, Ali
Published: (2026)
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
by: Shihab, Ibne Farabi, et al.
Published: (2025)
by: Shihab, Ibne Farabi, et al.
Published: (2025)
How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow
by: Latendresse, Jasmine, et al.
Published: (2025)
by: Latendresse, Jasmine, et al.
Published: (2025)
Anytime-Valid Answer Sufficiency Certificates for LLM Generation via Sequential Information Lift
by: Akter, Sanjeda, et al.
Published: (2025)
by: Akter, Sanjeda, et al.
Published: (2025)
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
by: Trivedi, Prashant, et al.
Published: (2025)
by: Trivedi, Prashant, et al.
Published: (2025)
Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching
by: Gaur, Mudit, et al.
Published: (2025)
by: Gaur, Mudit, et al.
Published: (2025)
Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach
by: Reza, Md Shihab, et al.
Published: (2024)
by: Reza, Md Shihab, et al.
Published: (2024)
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems
by: Shihab, Ibne Farabi, et al.
Published: (2025)
by: Shihab, Ibne Farabi, et al.
Published: (2025)
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?
by: Shihab, Ibne Farabi, et al.
Published: (2025)
by: Shihab, Ibne Farabi, et al.
Published: (2025)
Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping
by: Maghsoudi, Maryam, et al.
Published: (2026)
by: Maghsoudi, Maryam, et al.
Published: (2026)
Multilingual Financial Fraud Detection Using Machine Learning and Transformer Models: A Bangla-English Study
by: Uddin, Mohammad Shihab, et al.
Published: (2026)
by: Uddin, Mohammad Shihab, et al.
Published: (2026)
Robust Federated Learning via Byzantine Filtering over Encrypted Updates
by: Bendoukha, Adda Akram, et al.
Published: (2026)
by: Bendoukha, Adda Akram, et al.
Published: (2026)
Improving Location-based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning
by: Lou, Tun-Chieh, et al.
Published: (2024)
by: Lou, Tun-Chieh, et al.
Published: (2024)
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework
by: Ghanim, Jihan, et al.
Published: (2024)
by: Ghanim, Jihan, et al.
Published: (2024)
Modeling Electric Vehicle Car-Following Behavior: Classical vs Machine Learning Approach
by: Uddin, Md. Shihab, et al.
Published: (2025)
by: Uddin, Md. Shihab, et al.
Published: (2025)
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
Beam Selection in ISAC using Contextual Bandit with Multi-modal Transformer and Transfer Learning
by: Farzanullah, Mohammad, et al.
Published: (2025)
by: Farzanullah, Mohammad, et al.
Published: (2025)
Continual Calibration: Coverage Can Collapse Before Accuracy in Lifelong LLM Fine-Tuning
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Why Colors Make Clustering Harder:Global Integrality Gaps, the Price of Fairness, and Color-Coupled Algorithms in Chromatic Correlation Clustering
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Grassmannian Mixture-of-Experts: Concentration-Controlled Routing on Subspace Manifolds
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Calibrated Adaptation: Bayesian Stiefel Manifold Priors for Reliable Parameter-Efficient Fine-Tuning
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Topology-Aware State Abstraction with Tangle Cores for Markov Decision Processes
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Coverage-Based Calibration for Post-Training Quantization via Weighted Set Cover over Outlier Channels
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Beyond Accuracy: A Unified Random Matrix Theory Diagnostic Framework for Crash Classification Models
by: Shihab, Ibne Farabi, et al.
Published: (2026)
by: Shihab, Ibne Farabi, et al.
Published: (2026)
Similar Items
-
Online Robust Reinforcement Learning with General Function Approximation
by: Ghosh, Debamita, et al.
Published: (2025) -
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning
by: Ghosh, Debamita, et al.
Published: (2025) -
CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning
by: Alinejad, Mahyar, et al.
Published: (2026) -
Provably Sample-Efficient Robust Reinforcement Learning with Average Reward
by: Roch, Zachary, et al.
Published: (2025) -
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
by: Zhang, Chi, et al.
Published: (2025)