Image de couverture de livre

Statistically Valid Information Bottleneck via Multiple Hypothesis Testing

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Farzaneh, Amirmohammad, Simeone, Osvaldo
Format:	Preprint
Publié:	2024
Sujets:	Information Theory Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
par: Farzaneh, Amirmohammad, et autres
Publié: (2025)

Ensuring Reliability via Hyperparameter Selection: Review and Advances
par: Farzaneh, Amirmohammad, et autres
Publié: (2025)

Post-Selection Distributional Model Evaluation
par: Farzaneh, Amirmohammad, et autres
Publié: (2026)

Context-Aware Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
par: Farzaneh, Amirmohammad, et autres
Publié: (2025)

Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization
par: Farzaneh, Amirmohammad, et autres
Publié: (2024)

Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
par: Farzaneh, Amirmohammad, et autres
Publié: (2025)

An Information-Theoretic Analysis of Temporal GNNs
par: Farzaneh, Amirmohammad
Publié: (2024)

Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
par: Zecchin, Matteo, et autres
Publié: (2024)

Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
par: Ke, Yuzhen, et autres
Publié: (2024)

Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective
par: Simeone, Osvaldo, et autres
Publié: (2025)

Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables
par: Zhu, Meiyi, et autres
Publié: (2026)

Optimized Certainty Equivalent Risk-Controlling Prediction Sets
par: Huang, Jiayi, et autres
Publié: (2026)

Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing
par: Simeone, Osvaldo
Publié: (2026)

Localized Adaptive Risk Control
par: Zecchin, Matteo, et autres
Publié: (2024)

Cell-Free Multi-User MIMO Equalization via In-Context Learning
par: Zecchin, Matteo, et autres
Publié: (2024)

Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
par: Zhang, Yunchuan, et autres
Publié: (2023)

Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
par: Wen, Haifeng, et autres
Publié: (2024)

Generalization and Informativeness of Conformal Prediction
par: Zecchin, Matteo, et autres
Publié: (2024)

Statistical Complexity of Quantum Learning
par: Banchi, Leonardo, et autres
Publié: (2023)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
par: Guo, Mingzhao, et autres
Publié: (2024)

GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
par: Wang, Weiqi, et autres
Publié: (2026)

Quantum Sequential Universal Hypothesis Testing
par: Zecchin, Matteo, et autres
Publié: (2025)

Variational Quantum Integrated Sensing and Communication
par: Nikoloska, Ivana, et autres
Publié: (2025)

Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search
par: Zhang, Yunchuan, et autres
Publié: (2024)

MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling
par: Bhattacharjee, Payel, et autres
Publié: (2026)

In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models
par: Zecchin, Matteo, et autres
Publié: (2023)

Statistical Unlearning of Distributions: A Hypothesis Testing Approach
par: Pandey, Aaradhya, et autres
Publié: (2026)

Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift
par: Zecchin, Matteo, et autres
Publié: (2025)

Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
par: Simeone, Osvaldo, et autres
Publié: (2025)

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints
par: Kazemi, Hadi, et autres
Publié: (2025)

NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection
par: Wen, Haifeng, et autres
Publié: (2024)

Attention-Based Feature Online Conformal Prediction for Time Series
par: Zhu, Meiyi, et autres
Publié: (2025)

Projection Head is Secretly an Information Bottleneck
par: Ouyang, Zhuo, et autres
Publié: (2025)

The Sample Complexity of Simple Binary Hypothesis Testing
par: Pensia, Ankit, et autres
Publié: (2024)

On Robust Hypothesis Testing with respect to the Hellinger Distance
par: Modak, Eeshan, et autres
Publié: (2025)

On the Sample Complexity of Robust Binary Hypothesis Testing
par: Vallinayagam, Shankar, et autres
Publié: (2026)

Cauchy-Schwarz Divergence Information Bottleneck for Regression
par: Yu, Shujian, et autres
Publié: (2024)

Minimax Hypothesis Testing for the Bradley-Terry-Luce Model
par: Makur, Anuran, et autres
Publié: (2024)

Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference
par: Nikoloska, Ivana, et autres
Publié: (2025)

Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations
par: Aksoy, Kadircan, et autres
Publié: (2026)