Cover Image

Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yunchuan, Simeone, Osvaldo, Poor, H. Vincent
Format:	Preprint
Published:	2025
Subjects:	Computer Science and Game Theory Information Theory Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search
by: Zhang, Yunchuan, et al.
Published: (2024)

Bayesian Optimization for Non-Cooperative Game-Based Radio Resource Management
by: Zhang, Yunchuan, et al.
Published: (2025)

Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
by: Zhang, Yunchuan, et al.
Published: (2023)

On the Interplay of Privacy, Persuasion and Quantization
by: Anand, Anju, et al.
Published: (2025)

Remote Estimation Games with Random Walk Processes: Stackelberg Equilibrium
by: Dokme, Atahan, et al.
Published: (2024)

Nash Equilibria in Reverse Temporal Voronoi Games
by: Pawlowski, Simeon, et al.
Published: (2024)

Network Games Induced Prior for Graph Topology Learning
by: Zhang, Chenyue, et al.
Published: (2024)

Agent-Based Anti-Jamming Techniques for UAV Communications in Adversarial Environments: A Comprehensive Survey
by: Yang, Jingpu, et al.
Published: (2025)

Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
by: Simeone, Osvaldo, et al.
Published: (2025)

Stackelberg Game-Driven Defense for ISAC Against Channel Attacks in Low-Altitude Networks
by: Wang, Jiacheng, et al.
Published: (2025)

A Game-Theoretic Approach for High-Resolution Automotive FMCW Radar Interference Avoidance
by: Pan, Yunian, et al.
Published: (2025)

Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management
by: Zhang, Yunchuan, et al.
Published: (2024)

Nash Equilibria with Derangement Degree Probabilities
by: Orzech, Edan, et al.
Published: (2026)

Randomness Requirements and Asymmetries in Nash Equilibria
by: Orzech, Edan, et al.
Published: (2023)

ε-Stationary Nash Equilibria in Multi-player Stochastic Graph Games
by: Asadi, Ali, et al.
Published: (2025)

Online Learning of Modular Bayesian Deep Receivers: Single-Step Adaptation with Streaming Data
by: Gusakov, Yakov, et al.
Published: (2025)

Timely Information for Strategic Persuasion
by: Gundogan, Ahmet Bugra, et al.
Published: (2025)

Structural Limits of Soft Fusion in Multi-Warden Covert Communication
by: Arghavani, Abbas, et al.
Published: (2026)

Uncertainty-Aware and Reliable Neural MIMO Receivers via Modular Bayesian Deep Learning
by: Raviv, Tomer, et al.
Published: (2023)

When to Preempt in a Status Update System?
by: Banerjee, Subhankar, et al.
Published: (2024)

Mitigating Pilot Contamination and Enabling IoT Scalability in Massive MIMO Systems
by: Saeed, Muhammad Kamran, et al.
Published: (2023)

On the Uniqueness of Nash Equilibria in Multiagent Matrix Games
by: Bailey, James P.
Published: (2024)

Semi-Supervised Learning via Cross-Prediction-Powered Inference for Wireless Systems
by: Sifaou, Houssem, et al.
Published: (2024)

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints
by: Patris, Nikolas, et al.
Published: (2024)

On the Complexity of Learning Nash Equilibria
by: Biggar, Oliver, et al.
Published: (2026)

Hybrid NOMA Assisted OFDMA Uplink Transmission
by: Ding, Zhiguo, et al.
Published: (2024)

Arena-Independent Memory Bounds for Nash Equilibria in Reachability Games
by: Main, James C. A.
Published: (2023)

Privacy Guarantee for Nash Equilibrium Computation of Aggregative Games Based on Pointwise Maximal Leakage
by: Cheng, Zhaoyang, et al.
Published: (2025)

How Irrationality Shapes Nash Equilibria: A Prospect-Theoretic Perspective
by: S., Ashok Krishnan K., et al.
Published: (2025)

A Hybrid Game-Theory and Deep Learning Framework for Predicting Tourist Arrivals via Big Data Analytics and Opinion Leader Detection
by: Nikseresht, Ali
Published: (2025)

Nash Equilibria via Stochastic Eigendecomposition
by: Gemp, Ian
Published: (2024)

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
by: Gemp, Ian, et al.
Published: (2023)

NashOpt - A Python Library for Computing Generalized Nash Equilibria
by: Bemporad, Alberto
Published: (2025)

Tight Inapproximability of Nash Equilibria in Public Goods Games
by: Dinh, Jérémi Do, et al.
Published: (2024)

Cell-Free Multi-User MIMO Equalization via In-Context Learning
by: Zecchin, Matteo, et al.
Published: (2024)

Design of Downlink Hybrid NOMA Transmission
by: Ding, Zhiguo, et al.
Published: (2024)

Flexible-Antenna Systems: A Pinching-Antenna Perspective
by: Ding, Zhiguo, et al.
Published: (2024)

Learnable Mixed Nash Equilibria are Collectively Rational
by: So, Geelon, et al.
Published: (2025)

NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria
by: Yu, Eason, et al.
Published: (2025)

The Complexity of Computing Robust Mediated Equilibria in Ordinal Games
by: Conitzer, Vincent
Published: (2024)