surrogate model

Optimal Local Explainer Aggregation for Interpretable Prediction AAAI 2022 Parallel MCMC Without Embarrassing Failures AISTATS 2022 Proximal Exploration for Model-guided Protein Sequence Design ICML 2022 Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022 Surrogate Model-Based Explainability Methods for Point Cloud NNs WACV 2022 Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks ICLR 2022 Triangulation candidates for Bayesian optimization NeurIPS 2022 Washing The Unwashable : On The (Im)possibility of Fairwashing Detection NeurIPS 2022 YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization AutoML 2022 An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021 Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021 BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021 Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NeurIPS 2021 Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces ICCV 2021 Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021 Explaining Hyperparameter Optimization via Partial Dependence Plots NeurIPS 2021 Exploiting Explanations for Model Inversion Attacks ICCV 2021 High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021 Meta-learning Hyperparameter Performance Prediction with Neural Processes ICML 2021 NAS-Bench-x11 and the Power of Learning Curves NeurIPS 2021 NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters ACML 2021 Nonmyopic Multifidelity Acitve Search ICML 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021 Predicting and Explaining French Grammatical Gender NAACL 2021 Top-k Ranking Bayesian Optimization AAAI 2021