Co-occurring keywords · papers mentioning both
Papers
Symbolic Explanations for Hyperparameter Optimization
AutoML 2023
Training Meta-Surrogate Model for Transferable Adversarial Attack
AAAI 2023
Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data
ICML 2023
A General Recipe for Likelihood-free Bayesian Optimization
ICML 2022
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions
NeurIPS 2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
NeurIPS 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy
ICLR 2022
Autoinverse: Uncertainty Aware Inversion of Neural Networks
NeurIPS 2022
BayCon: Model-agnostic Bayesian Counterfactual Generator
IJCAI 2022
Blackbox Attacks via Surrogate Ensemble Search
NeurIPS 2022
Boosting Black-Box Attack With Partially Transferred Conditional Adversarial Distribution
CVPR 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
NeurIPS 2022
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
ICML 2022
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging
MIDL 2022
Deep Surrogate Assisted Generation of Environments
NeurIPS 2022
Exploring Effective Data for Surrogate Training Towards Black-Box Attack
CVPR 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
NeurIPS 2022
Fourier Representations for Black-Box Optimization over Categorical Variables
AAAI 2022
GAR: Generalized Autoregression for Multi-Fidelity Fusion
NeurIPS 2022
Human-AI Collaborative Bayesian Optimisation
NeurIPS 2022
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search
NeurIPS 2022
Multi-objective Bayesian optimization over high-dimensional search spaces
UAI 2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
NeurIPS 2022
OMLT: Optimization & Machine Learning Toolkit
JMLR 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
AISTATS 2022