Co-occurring keywords · papers mentioning both
Papers
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
ACML 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
NeurIPS 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization
JMLR 2020
Distributionally Robust Bayesian Optimization
AISTATS 2020
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations
NeurIPS 2020
Efficient Automatic CASH via Rising Bandits
AAAI 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
NeurIPS 2020
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions
L4DC 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
NeurIPS 2020
Efficient Rollout Strategies for Bayesian Optimization
UAI 2020
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
AAAI 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
NeurIPS 2020
Federated Bayesian Optimization via Thompson Sampling
NeurIPS 2020
GP-NAS: Gaussian Process Based Neural Architecture Search
CVPR 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
NeurIPS 2020
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
NeurIPS 2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
CVPR 2020
Integrals over Gaussians under Linear Domain Constraints
AISTATS 2020
Intelligent Virtual Machine Provisioning in Cloud Computing
IJCAI 2020
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization
AISTATS 2020
Knowing The What But Not The Where in Bayesian Optimization
ICML 2020
Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots
RSS 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
NeurIPS 2020
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
AAAI 2020
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
ICLR 2020