black-box optimization

Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020 Explicit Gradient Learning for Black-Box Optimization ICML 2020 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Knowing The What But Not The Where in Bayesian Optimization ICML 2020 Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search NeurIPS 2020 Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020 Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds AAAI 2020 Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers RSS 2020 Optimizing Black-box Metrics with Adaptive Surrogates ICML 2020 Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes AISTATS 2020 Projective Preferential Bayesian Optimization ICML 2020 Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization ICML 2020 Safe non-smooth black-box optimization with application to policy search L4DC 2020 Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining NeurIPS 2020 Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020 Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020 X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks ACML 2019 ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Conditioning by adaptive sampling for robust design ICML 2019 Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization NeurIPS 2019 Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NeurIPS 2019 MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement ICML 2019