daizhongxiang

Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping

Bayesian Optimization Meets Bayesian Optimal Stopping

BO-SDF

Implementation for the paper "Bayesian Optimization under Stochastic Delayed Feedback, ICML 2022"

daizhongxiang.github.io

Differentially-Private-Federated-Bayesian-Optimization

Code for the NeurIPS 2021 paper: "Differentially Private Federated Bayesian Optimization with Distributed Exploration"

Federated-Neural-Bandits

Federated Neural Bandits (ICLR 2023)

Federated_Bayesian_Optimization

Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"

meta-BO

Official Implementation for "On Provably Robust Meta-Bayesian Optimization" (UAI 2022)

Quantum_Bayesian_Optimization

Official implementation for the paper "Quantum Bayesian Optimization" accepted to NeurIPS 2023.

R2-B2

Code for the ICML 2020 paper: "R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games"

sto-bnts

Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.

daizhongxiang/Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping

Bayesian Optimization Meets Bayesian Optimal Stopping

daizhongxiang/Federated_Bayesian_Optimization

Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"

daizhongxiang/sto-bnts

Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.

daizhongxiang/R2-B2

Code for the ICML 2020 paper: "R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games"

daizhongxiang/Differentially-Private-Federated-Bayesian-Optimization

Code for the NeurIPS 2021 paper: "Differentially Private Federated Bayesian Optimization with Distributed Exploration"

daizhongxiang/Federated-Neural-Bandits

Federated Neural Bandits (ICLR 2023)

daizhongxiang/Quantum_Bayesian_Optimization

Official implementation for the paper "Quantum Bayesian Optimization" accepted to NeurIPS 2023.

daizhongxiang/BO-SDF

Implementation for the paper "Bayesian Optimization under Stochastic Delayed Feedback, ICML 2022"

daizhongxiang/daizhongxiang.github.io

daizhongxiang/meta-BO

Official Implementation for "On Provably Robust Meta-Bayesian Optimization" (UAI 2022)

daizhongxiang/releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)