:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ciosek, Kamil, Petrov, Aleksandr V., Felicioni, Nicolò, Palla, Konstantina
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2605.14868
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Linear Gradient Prediction with Control Variates
par: Ciosek, Kamil, et autres
Publié: (2025)

A Bayesian Information-Theoretic Approach to Data Attribution
par: Tailor, Dharmesh, et autres
Publié: (2026)

Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy
par: Ciosek, Kamil, et autres
Publié: (2025)

Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
par: Calvo-Ordoñez, Sergio, et autres
Publié: (2024)

The Minimax Rate of Second-Order Calibration
par: Ciosek, Kamil, et autres
Publié: (2026)

On the Importance of Uncertainty in Decision-Making with Large Language Models
par: Felicioni, Nicolò, et autres
Publié: (2024)

A Gaussian Process View on Observation Noise and Initialization in Wide Neural Networks
par: Calvo-Ordoñez, Sergio, et autres
Publié: (2025)

Measuring Uncertainty Calibration
par: Ciosek, Kamil, et autres
Publié: (2025)

Automated Off-Policy Estimator Selection via Supervised Learning
par: Felicioni, Nicolò, et autres
Publié: (2024)

Impatient Bandits: Optimizing for the Long-Term Without Delay
par: Zhang, Kelly W., et autres
Publié: (2025)

Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning
par: Petrov, Aleksandr, et autres
Publié: (2024)

The Neural Tangent Kernel for Classification
par: Plenk, Jonathan, et autres
Publié: (2026)

When Embedding Models Meet: Procrustes Bounds and Applications
par: Maystre, Lucas, et autres
Publié: (2025)

Mapping Faithful Reasoning in Language Models
par: Li, Jiazheng, et autres
Publié: (2025)

Algebraic Adversarial Attacks on Integrated Gradients
par: Simpson, Lachlan, et autres
Publié: (2024)

Richer Bayesian Last Layers with Subsampled NTK Features
par: Calvo-Ordoñez, Sergio, et autres
Publié: (2026)

Enhancing Content Moderation with Culturally-Aware Models
par: Chan, Alex J., et autres
Publié: (2023)

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
par: Cinà, Antonio Emanuele, et autres
Publié: (2024)

Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
par: Christakopoulou, Konstantina, et autres
Publié: (2024)

Non-Coherent Over-the-Air Decentralized Gradient Descent
par: Michelusi, Nicolo'
Publié: (2022)

Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks
par: Yamamura, Keiichiro, et autres
Publié: (2024)

Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
par: Bairaktari, Konstantina, et autres
Publié: (2025)

Universal and Transferable Adversarial Attack on Large Language Models Using Exponentiated Gradient Descent
par: Biswas, Sajib, et autres
Publié: (2025)

Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
par: Zhong, Xuyang, et autres
Publié: (2025)

Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
par: Jin, Tianyuan, et autres
Publié: (2024)

TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation
par: Matyasko, Alexander, et autres
Publié: (2026)

Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
par: Biswas, Sajib, et autres
Publié: (2025)

Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
par: Waghela, Hetvi, et autres
Publié: (2024)

Ensuring Calibration Robustness in Split Conformal Prediction Under Adversarial Attacks
par: Qian, Xunlei, et autres
Publié: (2025)

Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning
par: Bylinkin, Dmitry, et autres
Publié: (2024)

Shuffling Heuristic in Variational Inequalities: Establishing New Convergence Guarantees
par: Medyakov, Daniil, et autres
Publié: (2025)

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
par: Jin, Zhibo, et autres
Publié: (2024)

SORA: Free Second-Order Attacks in Fast Adversarial Training
par: Teymourian, Mazdak, et autres
Publié: (2026)

Conformal Load Prediction with Transductive Graph Autoencoders
par: Luo, Rui, et autres
Publié: (2024)

Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach
par: Qiu, Hao, et autres
Publié: (2026)

Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks
par: Zhang, Xiaomei, et autres
Publié: (2025)

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
par: Antsiferova, Anastasia, et autres
Publié: (2023)

Adversarial Attacks for Drift Detection
par: Hinder, Fabian, et autres
Publié: (2024)

Adversarial Attacks on Data Attribution
par: Wang, Xinhe, et autres
Publié: (2024)

Gradient-Variation Regret Bounds for Unconstrained Online Learning
par: Zhao, Yuheng, et autres
Publié: (2026)