Saved in:
| Main Authors: | Liao, Yiqiao, Koushanfar, Farinaz, Naghizadeh, Parinaz |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.19497 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Test-Time Adaptation for Unsupervised Combinatorial Optimization
by: Liao, Yiqiao, et al.
Published: (2026)
by: Liao, Yiqiao, et al.
Published: (2026)
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification
by: Alhanouti, Sura, et al.
Published: (2025)
by: Alhanouti, Sura, et al.
Published: (2025)
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing
by: Yang, Yifan, et al.
Published: (2025)
by: Yang, Yifan, et al.
Published: (2025)
Generalization Error Bounds for Learning under Censored Feedback
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
LiveTune: Dynamic Parameter Tuning for Feedback-Driven Optimization
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2023)
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2023)
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
by: Alam, Md Ferdous, et al.
Published: (2023)
by: Alam, Md Ferdous, et al.
Published: (2023)
Optimizing Privacy-Preserving Primitives to Support LLM-Scale Applications
by: Jandali, Yaman, et al.
Published: (2025)
by: Jandali, Yaman, et al.
Published: (2025)
ForTIFAI: Fending Off Recursive Training Induced Failure for AI Model Collapse
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2025)
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2025)
The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies
by: Ebrahimi, Raman, et al.
Published: (2024)
by: Ebrahimi, Raman, et al.
Published: (2024)
SWaRL: Safeguard Code Watermarking via Reinforcement Learning
by: Javidnia, Neusha, et al.
Published: (2026)
by: Javidnia, Neusha, et al.
Published: (2026)
LayerCollapse: Adaptive compression of neural networks
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2023)
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2023)
Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign
by: Zhang, Ruisi, et al.
Published: (2025)
by: Zhang, Ruisi, et al.
Published: (2025)
LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning
by: Spracklen, Joseph, et al.
Published: (2026)
by: Spracklen, Joseph, et al.
Published: (2026)
Trojan Cleansing with Neural Collapse
by: Gu, Xihe, et al.
Published: (2024)
by: Gu, Xihe, et al.
Published: (2024)
DROP: Poison Dilution via Knowledge Distillation for Federated Learning
by: Syros, Georgios, et al.
Published: (2025)
by: Syros, Georgios, et al.
Published: (2025)
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection
by: Heydaribeni, Nasimeh, et al.
Published: (2023)
by: Heydaribeni, Nasimeh, et al.
Published: (2023)
Coordination Games on Multiplex Networks: Consensus, Convergence, and Stability of Opinion Dynamics
by: Shiu, Ruey-An, et al.
Published: (2026)
by: Shiu, Ruey-An, et al.
Published: (2026)
Props for Machine-Learning Security
by: Juels, Ari, et al.
Published: (2024)
by: Juels, Ari, et al.
Published: (2024)
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
by: Huo, Mingjia, et al.
Published: (2024)
by: Huo, Mingjia, et al.
Published: (2024)
The Feedback Loop Between Recommendation Systems and Reactive Users
by: Mollabagher, Atefeh, et al.
Published: (2025)
by: Mollabagher, Atefeh, et al.
Published: (2025)
Reactive Users vs. Recommendation Systems: An Adaptive Policy to Manage Opinion Drifts
by: Mollabagher, Atefeh, et al.
Published: (2025)
by: Mollabagher, Atefeh, et al.
Published: (2025)
United We Fall: On the Nash Equilibria of Multiplex and Multilayer Network Games
by: Ebrahimi, Raman, et al.
Published: (2024)
by: Ebrahimi, Raman, et al.
Published: (2024)
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
by: Heydaribeni, Nasimeh, et al.
Published: (2023)
by: Heydaribeni, Nasimeh, et al.
Published: (2023)
EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models
by: Zhang, Ruisi, et al.
Published: (2024)
by: Zhang, Ruisi, et al.
Published: (2024)
Watermarking Large Language Models and the Generated Content: Opportunities and Challenges
by: Zhang, Ruisi, et al.
Published: (2024)
by: Zhang, Ruisi, et al.
Published: (2024)
A Distributed Training Architecture For Combinatorial Optimization
by: Long, Yuyao
Published: (2025)
by: Long, Yuyao
Published: (2025)
Regularized Langevin Dynamics for Combinatorial Optimization
by: Feng, Shengyu, et al.
Published: (2025)
by: Feng, Shengyu, et al.
Published: (2025)
A Benchmark Study of Deep Learning Methods for Multi-Label Pediatric Electrocardiogram-Based Cardiovascular Disease Classification
by: Chen, Yiqiao
Published: (2025)
by: Chen, Yiqiao
Published: (2025)
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
by: Pirnay, Jonathan, et al.
Published: (2024)
by: Pirnay, Jonathan, et al.
Published: (2024)
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
by: Kim, Hyeonah, et al.
Published: (2023)
by: Kim, Hyeonah, et al.
Published: (2023)
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization
by: Wang, Chenguang, et al.
Published: (2023)
by: Wang, Chenguang, et al.
Published: (2023)
BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization
by: Liao, Zijun, et al.
Published: (2025)
by: Liao, Zijun, et al.
Published: (2025)
MINPO: Memory-Informed Neural Pseudo-Operator to Resolve Nonlocal Spatiotemporal Dynamics
by: Mostajeran, Farinaz, et al.
Published: (2025)
by: Mostajeran, Farinaz, et al.
Published: (2025)
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2025)
by: Shabgahi, Soheil Zibakhsh, et al.
Published: (2025)
Graph Q-Learning for Combinatorial Optimization
by: Dax, Victoria M., et al.
Published: (2024)
by: Dax, Victoria M., et al.
Published: (2024)
Combinatorial Optimization Augmented Machine Learning
by: Schiffer, Maximilian, et al.
Published: (2026)
by: Schiffer, Maximilian, et al.
Published: (2026)
Combinatorial Causal Bandits without Graph Skeleton
by: Feng, Shi, et al.
Published: (2023)
by: Feng, Shi, et al.
Published: (2023)
ICtoken: An NFT for Hardware IP Protection
by: Balla, Shashank, et al.
Published: (2024)
by: Balla, Shashank, et al.
Published: (2024)
Theoretical Analysis of Contrastive Learning under Imbalanced Data: From Training Dynamics to a Pruning Solution
by: Liao, Haixu, et al.
Published: (2026)
by: Liao, Haixu, et al.
Published: (2026)
Similar Items
-
Test-Time Adaptation for Unsupervised Combinatorial Optimization
by: Liao, Yiqiao, et al.
Published: (2026) -
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification
by: Alhanouti, Sura, et al.
Published: (2025) -
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing
by: Yang, Yifan, et al.
Published: (2025) -
Generalization Error Bounds for Learning under Censored Feedback
by: Yang, Yifan, et al.
Published: (2024) -
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering
by: Yang, Yifan, et al.
Published: (2024)