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Bayesian Optimization

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Showing 1601–1650 of 1900 papers

TitleStatusHype
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning—0
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots—0
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian OptimizationCode0
Enhancement of Energy-Based Swing-Up Controller via Entropy Search—0
Adaptive Bayesian Linear Regression for Automated Machine Learning—0
Bayesian Optimization for Policy Search via Online-Offline Experimentation—0
Using Gaussian process regression for efficient parameter reconstruction—0
Sampling Acquisition Functions for Batch Bayesian Optimization—0
Deep Gaussian Processes for Multi-fidelity ModelingCode0
Financial Applications of Gaussian Processes and Bayesian Optimization—0
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning—0
Sim-to-Real Transfer for Biped Locomotion—0
High-dimensional Bayesian optimization using low-dimensional feature spacesCode0
Topological Bayesian Optimization with Persistence Diagrams—0
Fully Distributed Bayesian Optimization with Stochastic Policies—0
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines—0
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributionsCode0
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelinesCode0
Multifidelity Bayesian Optimization for Binomial Output—0
Learning to Generalize from Sparse and Underspecified RewardsCode0
The Kalai-Smorodinski solution for many-objective Bayesian optimization—0
BOAssembler: a Bayesian Optimization Framework to Improve RNA-Seq Assembly PerformanceCode0
Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization—0
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives—0
Bayesian optimization in ab initio nuclear physics—0
Combinatorial Bayesian Optimization using the Graph Cartesian ProductCode0
Learnable Embedding Space for Efficient Neural Architecture CompressionCode0
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming LanguageCode0
Evaluation Function Approximation for Scrabble—0
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization—0
On Local Optimizers of Acquisition Functions in Bayesian Optimization—0
Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques—0
No-Regret Bayesian Optimization with Unknown Hyperparameters—0
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimizationCode0
Fast Exact Computation of Expected HyperVolume Improvement—0
Bayesian Optimization in AlphaGo—0
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study—0
Code Failure Prediction and Pattern Extraction using LSTM Networks—0
Doubly Bayesian Optimization—0
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection—0
Learning to Design Circuits—0
Scalable Hyperparameter Transfer Learning—0
Automating Bayesian optimization with Bayesian optimization—0
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features—0
Deep Collective Matrix Factorization for Augmented Multi-View LearningCode0
Learning Multiple Defaults for Machine Learning Algorithms—0
Regret bounds for meta Bayesian optimization with an unknown Gaussian process priorCode0
Deep Siamese Networks with Bayesian non-Parametrics for Video Object Tracking—0
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization—0
Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates—0
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