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| Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians | Nov 21, 2024 | Bayesian Optimization | CodeCode Available | 0 |
| Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization | Oct 25, 2023 | Bayesian OptimizationVariational Inference | CodeCode Available | 0 |
| Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation | Jun 1, 2025 | Bayesian OptimizationDrug Design | CodeCode Available | 0 |
| Scaling Gaussian Process Regression with Derivatives | Oct 29, 2018 | Bayesian OptimizationDimensionality Reduction | CodeCode Available | 0 |
| SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality | Jun 18, 2024 | Bayesian Optimization | CodeCode Available | 0 |
| On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method | Jul 26, 2019 | Adversarial AttackBayesian Optimization | CodeCode Available | 0 |
| Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations | Sep 12, 2020 | Bayesian Optimization | CodeCode Available | 0 |
