SOTAVerified

Bayesian Optimization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 626–650 of 1900 papers

TitleStatusHype
Constrained Bayesian Optimization Using a Lagrange Multiplier Applied to Power Transistor Design—0
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration—0
Robust Bayesian Satisficing—0
Backpropagation Path Search On Adversarial Transferability—0
Approximate and Weighted Data Reconstruction Attack in Federated Learning—0
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets—0
Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization—0
HomOpt: A Homotopy-Based Hyperparameter Optimization MethodCode1
Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization—0
Dependency Structure Search Bayesian Optimization for Decision Making Models—0
Predictive Modeling through Hyper-Bayesian Optimization—0
Model-based Causal Bayesian Optimization—0
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation—0
Effective Scaling of High-Fidelity Electric Motor Models for Electric Powertrain Design Optimization—0
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization—0
Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning—0
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionCode0
MALIBO: Meta-learning for Likelihood-free Bayesian OptimizationCode0
Optimal Scalarizations for Sublinear Hypervolume Regret—0
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed SpacesCode1
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction—0
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal DesignCode0
Safe Risk-averse Bayesian Optimization for Controller Tuning—0
Sampling from Gaussian Process Posteriors using Stochastic Gradient DescentCode1
Multi-Fidelity Active Learning with GFlowNetsCode2
Show:102550
← PrevPage 26 of 76Next →

No leaderboard results yet.