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Bayesian Optimization

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TitleStatusHype
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design—0
Uncertainty quantification and exploration-exploitation trade-off in humans—0
Uncertainty Quantification for Bayesian Optimization—0
Understanding High-Dimensional Bayesian Optimization—0
Un-evaluated Solutions May Be Valuable in Expensive Optimization—0
Universality of parametric Coupling Flows over parametric diffeomorphisms—0
Universal Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery—0
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations—0
Unlocking Profit Potential: Maximizing Returns with Bayesian Optimization of Supertrend Indicator Parameters—0
Unscented Bayesian Optimization for Safe Robot Grasping—0
Unsupervised learning of spatially varying regularization for diffeomorphic image registration—0
Upgrading from Gaussian Processes to Student's-T Processes—0
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design—0
User-Preference Meets Pareto-Optimality: Multi-Objective Bayesian Optimization with Local Gradient Search—0
Using Bayesian Optimization to Accelerate Virtual Screening for the Discovery of Therapeutics Appropriate for Repurposing for COVID-19—0
Using Distance Correlation for Efficient Bayesian Optimization—0
Using Gaussian process regression for efficient parameter reconstruction—0
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning—0
Utility-Optimized Synthesis of Differentially Private Location Traces—0
Utilizing remote sensing data in forest inventory sampling via Bayesian optimization—0
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints—0
Variational Auto-encoded Deep Gaussian Processes—0
Variational Entropy Search for Adjusting Expected Improvement—0
Variational Inference for Model-Free and Model-Based Reinforcement Learning—0
Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization—0
Vehicle Cabin Climate MPC Parameter Tuning Using Constrained Contextual Bayesian Optimization (C-CMES)—0
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization—0
Warm Starting Bayesian Optimization—0
Wasserstein Barycenter Gaussian Process based Bayesian Optimization—0
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems—0
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization—0
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling—0
WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents—0
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?—0
What makes a good concept anyway ?—0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
Which price to pay? Auto-tuning building MPC controller for optimal economic cost—0
Practitioner Motives to Select Hyperparameter Optimization Methods—0
Why risk matters for protein binder design—0
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales—0
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions—0
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization—0
Dynamic Control of Explore/Exploit Trade-Off In Bayesian Optimization—0
Dynamic Exclusion of Low-Fidelity Data in Bayesian Optimization for Autonomous Beamline Alignment—0
Dynamic Fisher-weighted Model Merging via Bayesian Optimization—0
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
Effective Scaling of High-Fidelity Electric Motor Models for Electric Powertrain Design Optimization—0
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization—0
Efficient and Scalable Batch Bayesian Optimization Using K-Means—0
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