Saved in:
| Main Authors: | Guidone, Gennaro, Monegaglia, Luca, Raimondi, Elia, Wang, Han, Bianchi, Mattia, Dörfler, Florian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.02398 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
by: Dirren, Colin, et al.
Published: (2024)
by: Dirren, Colin, et al.
Published: (2024)
UCB for Large-Scale Pure Exploration: Beyond Sub-Gaussianity
by: Li, Zaile, et al.
Published: (2025)
by: Li, Zaile, et al.
Published: (2025)
A Stability Condition for Online Feedback Optimization without Timescale Separation
by: Bianchi, Mattia, et al.
Published: (2024)
by: Bianchi, Mattia, et al.
Published: (2024)
Online Feedback Optimization for Monotone Systems without Timescale Separation
by: Bianchi, Mattia, et al.
Published: (2025)
by: Bianchi, Mattia, et al.
Published: (2025)
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
by: Treven, Lenart, et al.
Published: (2024)
by: Treven, Lenart, et al.
Published: (2024)
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)
by: Authier, Jules, et al.
Published: (2023)
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression
by: Papadopoulos, Harris
Published: (2023)
by: Papadopoulos, Harris
Published: (2023)
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs
by: Jiang, Xikun, et al.
Published: (2024)
by: Jiang, Xikun, et al.
Published: (2024)
Precise Asymptotics and Refined Regret of Variance-Aware UCB
by: Fan, Yingying, et al.
Published: (2024)
by: Fan, Yingying, et al.
Published: (2024)
On the Suboptimality of GP-UCB under Polynomial Effective Optimism
by: Wang, Wenjia, et al.
Published: (2023)
by: Wang, Wenjia, et al.
Published: (2023)
Replicable Bandits with UCB based Exploration
by: Deb, Rohan, et al.
Published: (2026)
by: Deb, Rohan, et al.
Published: (2026)
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees
by: Jaber, Edgar, et al.
Published: (2024)
by: Jaber, Edgar, et al.
Published: (2024)
A characterization of sample adaptivity in UCB data
by: Chen, Yilun, et al.
Published: (2025)
by: Chen, Yilun, et al.
Published: (2025)
Decentralized Gaussian Process Classification and an Application in Subsea Robotics
by: Gao, Yifei, et al.
Published: (2025)
by: Gao, Yifei, et al.
Published: (2025)
Clus-UCB: A Near-Optimal Algorithm for Clustered Bandits
by: Gore, Aakash, et al.
Published: (2025)
by: Gore, Aakash, et al.
Published: (2025)
Robust, Online, and Adaptive Decentralized Gaussian Processes
by: Llorente, Fernando, et al.
Published: (2025)
by: Llorente, Fernando, et al.
Published: (2025)
TARC: Time-Adaptive Robotic Control
by: Sukhija, Arnav, et al.
Published: (2025)
by: Sukhija, Arnav, et al.
Published: (2025)
UCB algorithms for multi-armed bandits: Precise regret and adaptive inference
by: Han, Qiyang, et al.
Published: (2024)
by: Han, Qiyang, et al.
Published: (2024)
Inductive Transfer Learning for Graph-Based Recommenders
by: Grötschla, Florian, et al.
Published: (2025)
by: Grötschla, Florian, et al.
Published: (2025)
Truncated LinUCB for Stochastic Linear Bandits
by: Song, Yanglei, et al.
Published: (2022)
by: Song, Yanglei, et al.
Published: (2022)
On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs
by: Dong, Zixuan, et al.
Published: (2022)
by: Dong, Zixuan, et al.
Published: (2022)
Taper-based scattering formulation of the Helmholtz equation to improve the training process of Physics-Informed Neural Networks
by: Dörfler, W., et al.
Published: (2024)
by: Dörfler, W., et al.
Published: (2024)
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
by: Di Gennaro, Federico, et al.
Published: (2025)
by: Di Gennaro, Federico, et al.
Published: (2025)
Tractable Instances of Bilinear Maximization: Implementing LinUCB on Ellipsoids
by: Zhang, Raymond, et al.
Published: (2025)
by: Zhang, Raymond, et al.
Published: (2025)
UCB Exploration for Fixed-Budget Bayesian Best Arm Identification
by: Zhu, Rong J. B., et al.
Published: (2024)
by: Zhu, Rong J. B., et al.
Published: (2024)
Learning diffusion at lightspeed
by: Terpin, Antonio, et al.
Published: (2024)
by: Terpin, Antonio, et al.
Published: (2024)
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
by: Qiu, Shuang, et al.
Published: (2022)
by: Qiu, Shuang, et al.
Published: (2022)
Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning
by: Aolaritei, Liviu, et al.
Published: (2022)
by: Aolaritei, Liviu, et al.
Published: (2022)
Convergence and Robustness Bounds for Distributed Asynchronous Shortest-Path
by: Miller, Jared, et al.
Published: (2025)
by: Miller, Jared, et al.
Published: (2025)
UCB-type Algorithm for Budget-Constrained Expert Learning
by: Latypov, Ilgam, et al.
Published: (2025)
by: Latypov, Ilgam, et al.
Published: (2025)
Deep Learning-Based Control Optimization for Glass Bottle Forming
by: Pujatti, Mattia, et al.
Published: (2025)
by: Pujatti, Mattia, et al.
Published: (2025)
Revisiting Social Welfare in Bandits: UCB is (Nearly) All You Need
by: Sarkar, Dhruv, et al.
Published: (2025)
by: Sarkar, Dhruv, et al.
Published: (2025)
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning
by: Shi, Yucheng, et al.
Published: (2024)
by: Shi, Yucheng, et al.
Published: (2024)
DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models
by: Jafari, Donya, et al.
Published: (2026)
by: Jafari, Donya, et al.
Published: (2026)
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
by: Bui, Ha Manh, et al.
Published: (2024)
by: Bui, Ha Manh, et al.
Published: (2024)
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
by: Huang, Ruiquan, et al.
Published: (2023)
by: Huang, Ruiquan, et al.
Published: (2023)
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders
by: Spitieris, Michail, et al.
Published: (2025)
by: Spitieris, Michail, et al.
Published: (2025)
Compliance Minimization via Physics-Informed Gaussian Processes
by: Sun, Xiangyu, et al.
Published: (2025)
by: Sun, Xiangyu, et al.
Published: (2025)
Physics-Informed Variational State-Space Gaussian Processes
by: Hamelijnck, Oliver, et al.
Published: (2024)
by: Hamelijnck, Oliver, et al.
Published: (2024)
Statistical Inference under Adaptive Sampling with LinUCB
by: Fan, Wei, et al.
Published: (2025)
by: Fan, Wei, et al.
Published: (2025)
Similar Items
-
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
by: Dirren, Colin, et al.
Published: (2024) -
UCB for Large-Scale Pure Exploration: Beyond Sub-Gaussianity
by: Li, Zaile, et al.
Published: (2025) -
A Stability Condition for Online Feedback Optimization without Timescale Separation
by: Bianchi, Mattia, et al.
Published: (2024) -
Online Feedback Optimization for Monotone Systems without Timescale Separation
by: Bianchi, Mattia, et al.
Published: (2025) -
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
by: Treven, Lenart, et al.
Published: (2024)