Research map / Probabilistic and scientific modeling / Bayesian optimization
Bayesian Optimization with Gradients
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use d-KG with full gradients instead of competing methods | Bayesian optimization · Branin | immediate regret | Helped |
| Use d-KG instead of competing methods | Bayesian optimization · Ackley | immediate regret | Helped |
| Use d-KG instead of competing methods | Bayesian optimization · Hartmann | immediate regret | Helped |
| Use d-KG with one noisy partial derivative instead of EI or d-EI | Bayesian optimization · Rosenbrock | immediate regret | Helped |
| Use derivative information with EI instead of EI without derivatives | Bayesian optimization · Levy | immediate regret | Hurt |
| Use d-KG instead of EI-type criteria | Bayesian optimization · Cosine mixture | immediate regret | Helped |
| Use d-KG with relevant directional derivative detection | Bayesian optimization · Weighted KNN | RMSE | Helped |
| Use d-KG instead of competing algorithms | Bayesian optimization · Spectral mixture kernel learning | objective value | Helped |
| Use d-KG instead of competing approaches | Bayesian optimization · MNIST logistic regression | test cross-entropy loss | Helped |
| Use d-KG instead of competing approaches | Bayesian optimization · MNIST deep learning | test cross-entropy loss | Helped |
| Use d-KG instead of d-EI | Bayesian optimization · 1D illustrative example | knowledge of optimum location | Helped |
| Use gradients with KG rather than KG without gradients | Knowledge gradient · Theoretical comparison | value of information | Helped |
Closest papers by meaning
- Local Bayesian optimization via maximizing probability of descent (NeurIPS 2022 · similarity 0.91)
- A General Framework for User-Guided Bayesian Optimization (ICLR 2024 · similarity 0.89)
- FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch (ICML 2025 · similarity 0.88)
- Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation (AAAI 2024 · similarity 0.88)
- Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization (NeurIPS 2024 · similarity 0.87)
- Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024 · similarity 0.87)
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