Copertina

A finite-sample generalization bound for stable LPV systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Racz, Daniel, Gonzalez, Martin, Petreczky, Mihaly, Benczur, Andras, Daroczy, Balint
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Systems and Control 68 I.2.0
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
di: Rácz, Dániel, et al.
Pubblicazione: (2024)

A finite-sample bound for identifying partially observed linear switched systems from a single trajectory
di: Racz, Daniel, et al.
Pubblicazione: (2025)

Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance
di: Delahunt, Charles B., et al.
Pubblicazione: (2026)

Meta-model Neural Process for Probabilistic Power Flow under Varying N-1 System Topologies
di: Ly, Sel, et al.
Pubblicazione: (2025)

Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies
di: Zhang, Qiwen
Pubblicazione: (2025)

Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
di: Nguyen, Minh-Duong, et al.
Pubblicazione: (2025)

ECG-FM: An Open Electrocardiogram Foundation Model
di: McKeen, Kaden, et al.
Pubblicazione: (2024)

Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
di: Kajitsuka, Tokio, et al.
Pubblicazione: (2023)

Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
di: d'Amato, Claudia, et al.
Pubblicazione: (2025)

Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity
di: Huang, Ningyuan, et al.
Pubblicazione: (2025)

Driving down Poisson error can offset classification error in clinical tasks
di: Delahunt, Charles B., et al.
Pubblicazione: (2024)

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
di: Leyli-Abadi, Milad, et al.
Pubblicazione: (2025)

Learning Actionable World Models for Industrial Process Control
di: Yan, Peng, et al.
Pubblicazione: (2025)

The Curious Case of In-Training Compression of State Space Models
di: Chahine, Makram, et al.
Pubblicazione: (2025)

GenAIOps for GenAI Model-Agility
di: Ueno, Ken, et al.
Pubblicazione: (2024)

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
di: Bian, Yijun, et al.
Pubblicazione: (2024)

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
di: Bian, Yijun, et al.
Pubblicazione: (2024)

A ZeNN architecture to avoid the Gaussian trap
di: Carvalho, Luís, et al.
Pubblicazione: (2025)

Customizing Graph Neural Networks using Path Reweighting
di: Chen, Jianpeng, et al.
Pubblicazione: (2021)

A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?
di: Henry, Nathan I. N., et al.
Pubblicazione: (2024)

On measuring grounding and generalizing grounding problems
di: Quigley, Daniel, et al.
Pubblicazione: (2025)

Value-Aware Multiagent Systems
di: Osman, Nardine
Pubblicazione: (2025)

Regime Change Hypothesis: Foundations for Decoupled Dynamics in Neural Network Training
di: Pérez-Corral, Cristian, et al.
Pubblicazione: (2026)

Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution
di: Hinterleitner, Alexander, et al.
Pubblicazione: (2024)

Does DQN Learn?
di: Gopalan, Aditya, et al.
Pubblicazione: (2022)

Progressive Feedforward Collapse of ResNet Training
di: Wang, Sicong, et al.
Pubblicazione: (2024)

Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
di: Nayak, Nikhil, et al.
Pubblicazione: (2026)

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
di: Shafieinejad, Masoumeh, et al.
Pubblicazione: (2026)

Adaptive Latent-Space Constraints in Personalized Federated Learning
di: Ayromlou, Sana, et al.
Pubblicazione: (2025)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
di: Guo, Dongxin, et al.
Pubblicazione: (2026)

Active Inference with a Self-Prior in the Mirror-Mark Task
di: Kim, Dongmin, et al.
Pubblicazione: (2026)

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
di: Sarkar, Nilesh, et al.
Pubblicazione: (2026)

The dynamics of belief: continuously monitoring and visualising complex systems
di: Beggs, Edwin J., et al.
Pubblicazione: (2022)

Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form QA
di: Badshah, Sher, et al.
Pubblicazione: (2024)

Correcting Gradient-Based Circuit Localization via Interaction-Aware Backpropagation
di: Edin, Joakim, et al.
Pubblicazione: (2025)

Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
di: Ged, François, et al.
Pubblicazione: (2023)

Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
di: Pala, Riccardo, et al.
Pubblicazione: (2024)

TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond
di: Hsu, Shang-Ling, et al.
Pubblicazione: (2026)

Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
di: Bellinger, Colin, et al.
Pubblicazione: (2023)

On the Invariants of Softmax Attention
di: Lee, Wonsuk
Pubblicazione: (2026)