conftrace_

bayesian optimization

624 papers

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Also known as

BO BAYESOPT

Co-occurring keywords

gaussian process (1200) acquisition function (129) hyperparameter optimization (406) regret bound (1926) black-box optimization (183) surrogate model (181) hyperparameter tuning (215) multi-objective optimization (364) thompson sampling (237) high-dimensional optimization (53)

Papers

Knowing The What But Not The Where in Bayesian Optimization ICML 2020
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NIPS 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization NIPS 2020
Bayesian Optimization for Iterative Learning NIPS 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search NIPS 2020
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization NIPS 2020
AutoBSS: An Efficient Algorithm for Block Stacking Style Search NIPS 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach 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
Modulating Surrogates for Bayesian Optimization ICML 2020
Projective Preferential Bayesian Optimization ICML 2020
Zeroth Order Non-convex optimization with Dueling-Choice Bandits UAI 2020
Amortized Bayesian Optimization over Discrete Spaces UAI 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020
Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020
Neural Architecture Generator Optimization NIPS 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization NIPS 2020
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization AISTATS 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NIPS 2020
Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters NIPS 2020
The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS NIPS 2020
Integrals over Gaussians under Linear Domain Constraints AISTATS 2020
Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020