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

Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization NIPS 2022
Joint Entropy Search For Maximally-Informed Bayesian Optimization NIPS 2022
A Simple Approach to Automated Spectral Clustering NIPS 2022
Joint Entropy Search for Multi-Objective Bayesian Optimization NIPS 2022
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NIPS 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022
On the Value of Prior in Online Learning to Rank AISTATS 2022
NOMU: Neural Optimization-based Model Uncertainty ICML 2022
Efficient Device Scheduling with Multi-Job Federated Learning AAAI 2022
Human-AI Collaborative Bayesian Optimisation NIPS 2022
DivBO: Diversity-aware CASH for Ensemble Learning NIPS 2022
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NIPS 2022
Sample-Then-Optimize Batch Neural Thompson Sampling NIPS 2022
Combinatorial Bayesian optimization with random mapping functions to convex polytopes UAI 2022
Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization JMLR 2022
On provably robust meta-Bayesian optimization UAI 2022
Rethinking Optimization with Differentiable Simulation from a Global Perspective CORL 2022
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NIPS 2022
Monte Carlo Tree Descent for Black-Box Optimization NIPS 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NIPS 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage CVPR 2022
Thompson Sampling Algorithms for Cascading Bandits JMLR 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making NIPS 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models NIPS 2021