surrogate model

Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) AAAI 2021 AdaTune: Adaptive Tensor Program Compilation Made Efficient NeurIPS 2020 Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NeurIPS 2020 Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020 Black-Box Optimization with Local Generative Surrogates NeurIPS 2020 Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS NeurIPS 2020 Learning Black-Box Attackers with Transferable Priors and Query Feedback NeurIPS 2020 Learning Global Transparent Models consistent with Local Contrastive Explanations NeurIPS 2020 Mixed-Variable Bayesian Optimization IJCAI 2020 Model Watermarking for Image Processing Networks AAAI 2020 Modulating Surrogates for Bayesian Optimization ICML 2020 SNODE: Spectral Discretization of Neural ODEs for System Identification ICLR 2020 Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020 Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations AISTATS 2020 Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019 Deep Bayesian Optimization on Attributed Graphs AAAI 2019 Demystifying Black-box Models with Symbolic Metamodels NeurIPS 2019 Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization AAAI 2019 Graph HyperNetworks for Neural Architecture Search ICLR 2019 Improving Black-box Adversarial Attacks with a Transfer-based Prior NeurIPS 2019 Meta-Surrogate Benchmarking for Hyperparameter Optimization NeurIPS 2019 BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018 Contour location via entropy reduction leveraging multiple information sources NeurIPS 2018 Fast Information-theoretic Bayesian Optimisation ICML 2018 Bayesian Optimization with Tree-structured Dependencies ICML 2017