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Bayesian Optimization

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Showing 1451–1500 of 1900 papers

TitleStatusHype
Nonmyopic Gaussian Process Optimization with Macro-Actions—0
Knot Selection in Sparse Gaussian Processes—0
Scalable Constrained Bayesian Optimization—0
Distributionally Robust Bayesian Optimization—0
Computational Design with Crowds—0
Online Parameter Estimation for Safety-Critical Systems with Gaussian Processes—0
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning—0
Uncertainty Quantification for Bayesian Optimization—0
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization—0
Automatic Pruning for Quantized Neural Networks—0
Stochastic geometry to generalize the Mondrian Process—0
Discovery of Self-Assembling π-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular SimulationCode0
Tight Regret Bounds for Noisy Optimization of a Brownian Motion—0
Bayesian optimization for backpropagation in Monte-Carlo tree search—0
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies—0
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection—0
Scalable Hyperparameter Optimization with Lazy Gaussian ProcessesCode0
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning—0
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization—0
Preparation of ordered states in ultra-cold gases using Bayesian optimization—0
Expected Improvement versus Predicted Value in Surrogate-Based OptimizationCode0
Offline Contextual Bayesian Optimization for Nuclear Fusion—0
Bayesian task embedding for few-shot Bayesian optimizationCode0
Outsourced Bayesian Optimization—0
Learning Neural Surrogate Model for Warm-Starting Bayesian Optimization—0
Learning Human Postural Control with Hierarchical Acquisition Functions—0
Model Inversion Networks for Model-Based Optimization—0
Benchmarking the Neural Linear Model for Regression—0
Kalman Filter Tuning with Bayesian Optimization—0
Progressive Learning Algorithm for Efficient Person Re-Identification—0
Meta-Learning Initializations for Image SegmentationCode0
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax—0
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network—0
Practical Two-Step Lookahead Bayesian Optimization—0
Offline Contextual Bayesian OptimizationCode0
Bayesian Optimization for Categorical and Category-Specific Continuous InputsCode0
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization—0
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS—0
Black-box Combinatorial Optimization using Models with Integer-valued MinimaCode0
Bayesian optimization with local search—0
A Simple Heuristic for Bayesian Optimization with A Low Budget—0
Multi-Attribute Bayesian Optimization With Interactive Preference Learning—0
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case—0
A Programmable Approach to Neural Network CompressionCode0
Designing over uncertain outcomes with stochastic sampling Bayesian optimization—0
On Batch Bayesian Optimization—0
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout—0
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints—0
Machine Learning for high speed channel optimization—0
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