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Bayesian Optimization

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Showing 851–900 of 1900 papers

TitleStatusHype
Hyper-parameter estimation method with particle swarm optimization—0
Forecasting day-ahead electricity prices in Europe: the importance of considering market integration—0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization—0
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames—0
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization—0
Bayesian optimization with local search—0
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making—0
Fully autonomous tuning of a spin qubit—0
Fully Distributed Bayesian Optimization with Stochastic Policies—0
Fully Unsupervised Annotation of C. Elegans—0
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch—0
Functional Causal Bayesian Optimization—0
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints—0
Gait learning for soft microrobots controlled by light fields—0
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design—0
Gated recurrent neural network with TPE Bayesian optimization for enhancing stock index prediction accuracy—0
Auto-Differentiating Linear Algebra—0
Gaussian Processes with Context-Supported Priors for Active Object Localization—0
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond—0
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds—0
Gaussian Process Thompson Sampling via Rootfinding—0
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning—0
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles—0
Generalized State-Feedback Controller Synthesis for Underactuated Systems through Bayesian Optimization—0
Conditional Neural Processes for Molecules—0
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization—0
Bayesian Optimization with Unknown Constraints—0
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models—0
Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design—0
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions—0
Generic Camera Attribute Control using Bayesian Optimization—0
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning—0
Geometric Parameter Estimations of Perovskite Solar Cells Based on Optical Simulations—0
Practical Bayesian Optimization of Objectives with Conditioning Variables—0
An Artificial Intelligence (AI) workflow for catalyst design and optimization—0
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation—0
Global Optimization of Gaussian processes—0
Global optimization of graph acquisition functions for neural architecture search—0
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery—0
Global Optimization with Parametric Function Approximation—0
Global Perception Based Autoregressive Neural Processes—0
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables—0
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization—0
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes—0
Adaptive Configuration Oracle for Online Portfolio Selection Methods—0
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo—0
HiBO: Hierarchical Bayesian Optimization via Adaptive Search Space Partitioning—0
Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction—0
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence—0
Computationally Efficient Electromagnetic Transient Power System Studies using Bayesian Optimization—0
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