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Bayesian Optimization

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Showing 1751–1800 of 1900 papers

TitleStatusHype
Constrained Bayesian Optimization with Noisy Experiments—0
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian ProcessesCode0
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space—0
Batched Large-scale Bayesian Optimization in High-dimensional SpacesCode0
Hyperparameter Optimization: A Spectral ApproachCode0
Improving the Expected Improvement Algorithm—0
Probabilistic Matrix Factorization for Automated Machine LearningCode0
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct SearchCode1
On the choice of the low-dimensional domain for global optimization via random embeddingsCode0
Preferential Bayesian Optimization—0
Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observationsCode0
Exploiting gradients and Hessians in Bayesian optimization and Bayesian quadrature—0
Probabilistic Line Searches for Stochastic OptimizationCode0
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization—0
Goal-Driven Dynamics Learning via Bayesian Optimization—0
Gaussian Processes with Context-Supported Priors for Active Object Localization—0
Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation—0
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm—0
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes—0
Bayesian Optimization with GradientsCode0
Practical Bayesian Optimization for Variable Cost ObjectivesCode0
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box FunctionsCode0
Grammar Variational AutoencoderCode0
Batched High-dimensional Bayesian Optimization via Structural Kernel LearningCode0
Max-value Entropy Search for Efficient Bayesian OptimizationCode0
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning—0
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization—0
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions—0
The Statistical Recurrent UnitCode0
RoBO: A Flexible and Robust Bayesian Optimization Framework in PythonCode0
Bayesian Optimization with Shape Constraints—0
Output Constraint Transfer for Kernelized Correlation Filter in TrackingCode0
Bayesian Optimization for Machine Learning : A Practical Guidebook—0
Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions—0
Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots—0
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down—0
Factored Contextual Policy Search with Bayesian Optimization—0
Active Search for Sparse Signals with Region Sensing—0
Bayesian Optimization with Robust Bayesian Neural NetworksCode0
Threshold Learning for Optimal Decision Making—0
Bayesian optimization for automated model selection—0
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach—0
Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes—0
Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization—0
Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors—0
Limbo: A Fast and Flexible Library for Bayesian OptimizationCode0
Compensating for Large In-Plane Rotations in Natural Images—0
Bayesian optimization of hyper-parameters in reservoir computingCode0
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes—0
Learning to Learn without Gradient Descent by Gradient Descent—0
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