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Bayesian Optimization

221 papers

Papers per year

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Papers

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NIPS 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach AAAI 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020
Experimental Design for Optimization of Orthogonal Projection Pursuit Models AAAI 2020
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic AAAI 2020
Gradient-Based Optimization for Bayesian Preference Elicitation AAAI 2020
GP-NAS: Gaussian Process Based Neural Architecture Search CVPR 2020
Practical Two-Step Lookahead Bayesian Optimization NIPS 2019
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NIPS 2019
Safe Exploration for Interactive Machine Learning NIPS 2019
Hyperparameter Learning via Distributional Transfer NIPS 2019
Scalable Global Optimization via Local Bayesian Optimization NIPS 2019
Offline Contextual Bayesian Optimization NIPS 2019
Characterizing Bias in Classifiers using Generative Models NIPS 2019
Max-value Entropy Search for Multi-Objective Bayesian Optimization NIPS 2019
Bayesian Optimization with Unknown Search Space NIPS 2019
Cost Effective Active Search NIPS 2019
Meta Architecture Search NIPS 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CORL 2019
Bayesian Functional Optimisation with Shape Prior AAAI 2019
SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019