conftrace_

surrogate model

181 papers

Explore in graph

Co-occurring keywords

bayesian optimization (624) gaussian process (1200) hyperparameter optimization (406) acquisition function (129) black-box optimization (183) adversarial attack (1621) neural network (6616) partial differential equation (222) graph neural network (3962) multi-objective optimization (364)

Papers

Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics NIPS 2023
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System AAAI 2023
Gaussian Process Surrogate Models for Neural Networks UAI 2023
Symbolic Explanations for Hyperparameter Optimization AUTOML 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization AUTOML 2023
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection AUTOML 2023
Surrogate Assisted Generation of Human-Robot Interaction Scenarios CORL 2023
Poisson Process for Bayesian Optimization AUTOML 2023
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies NIPS 2022
Blackbox Attacks via Surrogate Ensemble Search NIPS 2022
OMLT: Optimization & Machine Learning Toolkit JMLR 2022
Boosting Black-Box Attack With Partially Transferred Conditional Adversarial Distribution CVPR 2022
BayCon: Model-agnostic Bayesian Counterfactual Generator IJCAI 2022
Exploring Effective Data for Surrogate Training Towards Black-Box Attack CVPR 2022
Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022
A General Recipe for Likelihood-free Bayesian Optimization ICML 2022
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging MIDL 2022
Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022
Surrogate Model-Based Explainability Methods for Point Cloud NNs WACV 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation NIPS 2022
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions NIPS 2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks NIPS 2022
Parallel MCMC Without Embarrassing Failures AISTATS 2022
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization AUTOML 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization AISTATS 2022