Upper Entropy for 2-Monotone Lower Probabilities
Fuente:
arXiv
Guardado en:
| Autores principales: | Vu, Tuan-Anh, Destercke, Sébastien, Pichon, Frédéric |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Guaranteed prediction sets for functional surrogate models
por: Gray, Ander, et al.
Publicado: (2025)
por: Gray, Ander, et al.
Publicado: (2025)
Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization
por: Xu, Huimin, et al.
Publicado: (2026)
por: Xu, Huimin, et al.
Publicado: (2026)
Quantification of Credal Uncertainty: A Distance-Based Approach
por: Gonzalez-Garcia, Xabier, et al.
Publicado: (2026)
por: Gonzalez-Garcia, Xabier, et al.
Publicado: (2026)
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning
por: Liu, Zhishuai, et al.
Publicado: (2024)
por: Liu, Zhishuai, et al.
Publicado: (2024)
RePCS: Diagnosing Data Memorization in LLM-Powered Retrieval-Augmented Generation
por: Anh, Le Vu, et al.
Publicado: (2025)
por: Anh, Le Vu, et al.
Publicado: (2025)
Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
por: Phan, Hong-Phuc, et al.
Publicado: (2026)
por: Phan, Hong-Phuc, et al.
Publicado: (2026)
Algorithm Configuration for Structured Pfaffian Settings
por: Balcan, Maria-Florina, et al.
Publicado: (2024)
por: Balcan, Maria-Florina, et al.
Publicado: (2024)
Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
por: Mai, Anh-Tuan, et al.
Publicado: (2026)
por: Mai, Anh-Tuan, et al.
Publicado: (2026)
IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation
por: Yin, Yuan, et al.
Publicado: (2025)
por: Yin, Yuan, et al.
Publicado: (2025)
What happens when generative AI models train recursively on each others' outputs?
por: Vu, Hung Anh, et al.
Publicado: (2025)
por: Vu, Hung Anh, et al.
Publicado: (2025)
Is Monotonic Sampling Necessary in Diffusion Models?
por: Khan, Muhammad Haris
Publicado: (2026)
por: Khan, Muhammad Haris
Publicado: (2026)
Smooth Min-Max Monotonic Networks
por: Igel, Christian
Publicado: (2023)
por: Igel, Christian
Publicado: (2023)
Towards Monotonic Improvement in In-Context Reinforcement Learning
por: Zhang, Wenhao, et al.
Publicado: (2025)
por: Zhang, Wenhao, et al.
Publicado: (2025)
On the Relationship Between Monotone and Squared Probabilistic Circuits
por: Wang, Benjie, et al.
Publicado: (2024)
por: Wang, Benjie, et al.
Publicado: (2024)
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
por: Truong, Vu Tuan, et al.
Publicado: (2024)
por: Truong, Vu Tuan, et al.
Publicado: (2024)
Monotone and Separable Set Functions: Characterizations and Neural Models
por: Sarangi, Soutrik, et al.
Publicado: (2025)
por: Sarangi, Soutrik, et al.
Publicado: (2025)
Modeling Multi-Objective Tradeoffs with Monotonic Utility Functions
por: Chen, Edward, et al.
Publicado: (2024)
por: Chen, Edward, et al.
Publicado: (2024)
DIM: Enforcing Domain-Informed Monotonicity in Deep Neural Networks
por: Salim, Joshua, et al.
Publicado: (2025)
por: Salim, Joshua, et al.
Publicado: (2025)
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
por: Pham, Nga, et al.
Publicado: (2024)
por: Pham, Nga, et al.
Publicado: (2024)
Towards the TopMost: A Topic Modeling System Toolkit
por: Wu, Xiaobao, et al.
Publicado: (2023)
por: Wu, Xiaobao, et al.
Publicado: (2023)
Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RL
por: Zhan, Guojian, et al.
Publicado: (2025)
por: Zhan, Guojian, et al.
Publicado: (2025)
Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI
por: Zhu, Chenrui, et al.
Publicado: (2025)
por: Zhu, Chenrui, et al.
Publicado: (2025)
Can Machines Learn the True Probabilities?
por: Kim, Jinsook
Publicado: (2024)
por: Kim, Jinsook
Publicado: (2024)
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
por: Hu, Zhiwei, et al.
Publicado: (2024)
por: Hu, Zhiwei, et al.
Publicado: (2024)
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
por: Hao, Zhezheng, et al.
Publicado: (2025)
por: Hao, Zhezheng, et al.
Publicado: (2025)
Learning Probabilities of Causation with Mask-Augmented Data
por: Wang, Shuai, et al.
Publicado: (2025)
por: Wang, Shuai, et al.
Publicado: (2025)
Mitigating Spurious Correlations via Disagreement Probability
por: Han, Hyeonggeun, et al.
Publicado: (2024)
por: Han, Hyeonggeun, et al.
Publicado: (2024)
Estimating the Probabilities of Rare Outputs in Language Models
por: Wu, Gabriel, et al.
Publicado: (2024)
por: Wu, Gabriel, et al.
Publicado: (2024)
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
por: Sartor, Davide, et al.
Publicado: (2025)
por: Sartor, Davide, et al.
Publicado: (2025)
EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy
por: Huang, Yihong, et al.
Publicado: (2024)
por: Huang, Yihong, et al.
Publicado: (2024)
Probably Approximately Correct Maximum A Posteriori Inference
por: Shorvon, Matthew, et al.
Publicado: (2026)
por: Shorvon, Matthew, et al.
Publicado: (2026)
This Probably Looks Exactly Like That: An Invertible Prototypical Network
por: Carmichael, Zachariah, et al.
Publicado: (2024)
por: Carmichael, Zachariah, et al.
Publicado: (2024)
Effective Confidence Region Prediction Using Probability Forecasters
por: Lindsay, David, et al.
Publicado: (2024)
por: Lindsay, David, et al.
Publicado: (2024)
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation
por: Choe, Jean Seong Bjorn, et al.
Publicado: (2024)
por: Choe, Jean Seong Bjorn, et al.
Publicado: (2024)
FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection
por: Nguyen, Van Tuan, et al.
Publicado: (2024)
por: Nguyen, Van Tuan, et al.
Publicado: (2024)
Lower bounds on transformers with infinite precision
por: Kozachinskiy, Alexander
Publicado: (2024)
por: Kozachinskiy, Alexander
Publicado: (2024)
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
por: Le, Thanh-Long V., et al.
Publicado: (2025)
por: Le, Thanh-Long V., et al.
Publicado: (2025)
AdaProb: Efficient Machine Unlearning via Adaptive Probability
por: Zhao, Zihao, et al.
Publicado: (2024)
por: Zhao, Zihao, et al.
Publicado: (2024)
Generative Modeling of Class Probability for Multi-Modal Representation Learning
por: Shin, Jungkyoo, et al.
Publicado: (2025)
por: Shin, Jungkyoo, et al.
Publicado: (2025)
Minimax Rates and Spectral Distillation for Tree Ensembles
por: Vu, Binh Duc, et al.
Publicado: (2026)
por: Vu, Binh Duc, et al.
Publicado: (2026)
Ejemplares similares
-
Guaranteed prediction sets for functional surrogate models
por: Gray, Ander, et al.
Publicado: (2025) -
Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization
por: Xu, Huimin, et al.
Publicado: (2026) -
Quantification of Credal Uncertainty: A Distance-Based Approach
por: Gonzalez-Garcia, Xabier, et al.
Publicado: (2026) -
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning
por: Liu, Zhishuai, et al.
Publicado: (2024) -
RePCS: Diagnosing Data Memorization in LLM-Powered Retrieval-Augmented Generation
por: Anh, Le Vu, et al.
Publicado: (2025)