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conftrace_

bayesian optimization

732 papers

BO BAYESOPT

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