Bayesian Optimization

Experimental Design for Optimization of Orthogonal Projection Pursuit Models AAAI 2020 Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits NeurIPS 2020 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NeurIPS 2020 GP-NAS: Gaussian Process Based Neural Architecture Search CVPR 2020 Gradient-Based Optimization for Bayesian Preference Elicitation AAAI 2020 Multi-Fidelity Bayesian Optimization via Deep Neural Networks NeurIPS 2020 Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach AAAI 2020 Neural Architecture Generator Optimization NeurIPS 2020 Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NeurIPS 2020 Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020 Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020 Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 Active Change-Point Detection ACML 2019 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019 Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CoRL 2019 Bayesian Optimization with Unknown Search Space NeurIPS 2019 Characterizing Bias in Classifiers using Generative Models NeurIPS 2019 Cost Effective Active Search NeurIPS 2019 Hyperparameter Learning via Distributional Transfer NeurIPS 2019 Max-value Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2019 Meta Architecture Search NeurIPS 2019 MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019 Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019