Co-occurring keywords · papers mentioning both
Papers
Gaussian Process Surrogate Models for Neural Networks
UAI 2023
Graph of Circuits with GNN for Exploring the Optimal Design Space
NeurIPS 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
AISTATS 2023
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters
OSDI 2023
Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics
NeurIPS 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
NeurIPS 2023
Learning Controllable Adaptive Simulation for Multi-resolution Physics
ICLR 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
NeurIPS 2023
Learning Neural PDE Solvers with Parameter-Guided Channel Attention
ICML 2023
Learning to Optimize with Stochastic Dominance Constraints
AISTATS 2023
Multilevel Bayesian Quadrature
AISTATS 2023
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs
JMLR 2023
Optimizing Hyperparameters with Conformal Quantile Regression
ICML 2023
Parallel-mentoring for Offline Model-based Optimization
NeurIPS 2023
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
NeurIPS 2023
PFNs4BO: In-Context Learning for Bayesian Optimization
ICML 2023
Poisson Process for Bayesian Optimization
AutoML 2023
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
ICLR 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes
AISTATS 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
AutoML 2023
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference
AAAI 2023
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
ICML 2023
Surrogate Assisted Generation of Human-Robot Interaction Scenarios
CoRL 2023
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
JMLR 2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
ICML 2023