6 papers
Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors
Md Abir Hossen, Mohammad Ali Javidian, Vignesh Narayanan +2
Multi-fidelity Bayesian optimization (MFBO) accelerates the search for the global optimum of black-box functions by integrating inexpensive, low-fidelity approximations. The centra…
Hardness, Structural Knowledge, and Opportunity: An Analytical Framework for Modular Performance Modeling
Omid Gheibi, Christian Kästner, Pooyan Jamshidi
Performance-influence models are beneficial for understanding how configurations affect system performance, but their creation is challenging due to the exponential growth of confi…
CURE: Simulation-Augmented Auto-Tuning in Robotics
Md Abir Hossen, Sonam Kharade, Jason M. O'Kane +3
Robotic systems are typically composed of various subsystems, such as localization and navigation, each encompassing numerous configurable components (e.g., selecting different pla…
An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning
Fatemeh Ghofrani, Pooyan Jamshidi
Self-supervised learning (SSL) has significantly advanced image representation learning, yet efficiency challenges persist, particularly with adversarial training. Many SSL methods…
Introducing Interactions in Multi-Objective Optimization of Software Architectures
Vittorio Cortellessa, J. Andres Diaz-Pace, Daniele Di Pompeo +4
Software architecture optimization aims to enhance non-functional attributes like performance and reliability while meeting functional requirements. Multi-objective optimization em…
Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling
Kamran Razavi, Saeid Ghafouri, Max Mühlhäuser +2
Mobile and IoT applications increasingly adopt deep learning inference to provide intelligence. Inference requests are typically sent to a cloud infrastructure over a wireless netw…