Browse State-of-the-Art › Bayesian Optimization › Papers, page 14
Bayesian Optimization
Papers archive 2025-07-28
archive papers tagged: 1,900 · with a code link: 686 · where Syntology ran a sample: 185 (148 with a run with no instrument failure, 37 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (185 of 1,900 tagged: 148 with a run with no instrument failure, 37 where every run was a failure of Syntology's instrument)
Page 14 of 19: papers 1,301 to 1,400 of 1,900, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
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Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction23 Feb 2022 0 repositories listed
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Comparative analysis of machine learning methods for active flow control23 Feb 2022 0 repositories listed
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Universality of parametric Coupling Flows over parametric diffeomorphisms7 Feb 2022 0 repositories listed
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Meta-Learning Hypothesis Spaces for Sequential Decision-making1 Feb 2022 0 repositories listed
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Bayesian Optimization for Distributionally Robust Chance-constrained Problem31 Jan 2022 0 repositories listed
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30 Jan 2022 0 repositories listed
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FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames25 Jan 2022 0 repositories listed
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Automated machine learning for secure key rate in discrete-modulated continuous-variable quantum key distribution24 Jan 2022 0 repositories listed
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AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models21 Jan 2022 0 repositories listed
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A Comparative study of Hyper-Parameter Optimization Tools17 Jan 2022 0 repositories listed
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An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System7 Jan 2022 0 repositories listed
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Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification4 Jan 2022 0 repositories listed
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Rice Diseases Detection and Classification Using Attention Based Neural Network and Bayesian Optimization3 Jan 2022 0 repositories listed
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Thinking inside the box: A tutorial on grey-box Bayesian optimization2 Jan 2022 0 repositories listed
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High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series1 Jan 2022 0 repositories listed
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Automatic Configuration for Optimal Communication Scheduling in DNN Training27 Dec 2021 0 repositories listed
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An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations17 Dec 2021 0 repositories listed
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BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters16 Dec 2021 0 repositories listed
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Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding16 Dec 2021 0 repositories listed
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Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning15 Dec 2021 0 repositories listed
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Predicting the utility of search spaces for black-box optimization:a simple, budget-aware approach15 Dec 2021 0 repositories listed
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Efficient Device Scheduling with Multi-Job Federated Learning11 Dec 2021 0 repositories listed
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Multi-objective simulation optimization of the adhesive bonding process of materials9 Dec 2021 0 repositories listed
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Online Calibrated and Conformal Prediction Improves Bayesian Optimization8 Dec 2021 0 repositories listed
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Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization8 Dec 2021 0 repositories listed
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Multi-Task Learning on Networks7 Dec 2021 0 repositories listed
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Two-step Lookahead Bayesian Optimization with Inequality Constraints6 Dec 2021 0 repositories listed
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Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization3 Dec 2021 0 repositories listed
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Constrained Two-step Look-Ahead Bayesian Optimization1 Dec 2021 0 repositories listed
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Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy1 Dec 2021 0 repositories listed
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Playing Ping Pong with Light: Directional Emission of White Light30 Nov 2021 0 repositories listed
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Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization29 Nov 2021 0 repositories listed
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Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning23 Nov 2021 0 repositories listed
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Prediction of Probabilistic Transient Stability Using Support Vector Machine22 Nov 2021 0 repositories listed
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Quality and Computation Time in Optimization Problems20 Nov 2021 0 repositories listed
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Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics19 Nov 2021 0 repositories listed
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Bayesian Optimization for Cascade-type Multi-stage Processes16 Nov 2021 0 repositories listed
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Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits15 Nov 2021 0 repositories listed
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Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes10 Nov 2021 0 repositories listed
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Searching in the Forest for Local Bayesian Optimization10 Nov 2021 0 repositories listed
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Optimizing Bayesian acquisition functions in Gaussian Processes9 Nov 2021 0 repositories listed
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An Algorithmic Theory of Metacognition in Minds and Machines5 Nov 2021 0 repositories listed
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AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family5 Nov 2021 0 repositories listed
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Contextual Bayesian optimization with binary outputs5 Nov 2021 0 repositories listed
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Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems2 Nov 2021 0 repositories listed
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End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization1 Nov 2021 0 repositories listed
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Bayesian optimization of distributed neurodynamical controller models for spatial navigation31 Oct 2021 0 repositories listed
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Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation31 Oct 2021 0 repositories listed
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A comparison of mixed-variables Bayesian optimization approaches30 Oct 2021 0 repositories listed
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Differentially Private Federated Bayesian Optimization with Distributed Exploration27 Oct 2021 0 repositories listed
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Bayesian Optimization and Deep Learning forsteering wheel angle prediction22 Oct 2021 0 repositories listed
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Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes22 Oct 2021 0 repositories listed
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Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds22 Oct 2021 0 repositories listed
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ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies20 Oct 2021 0 repositories listed
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Bayesian Active Meta-Learning for Black-Box Optimization19 Oct 2021 0 repositories listed
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A portfolio approach to massively parallel Bayesian optimization18 Oct 2021 0 repositories listed
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Efficient Exploration in Binary and Preferential Bayesian Optimization18 Oct 2021 0 repositories listed
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A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems16 Oct 2021 0 repositories listed
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Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System15 Oct 2021 0 repositories listed
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VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints14 Oct 2021 0 repositories listed
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Revisiting Design Choices in Offline Model-Based Reinforcement Learning8 Oct 2021 0 repositories listed
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Scaling Bayesian Optimization With Game Theory7 Oct 2021 0 repositories listed
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On the Correspondence between Gaussian Processes and Geometric Harmonics5 Oct 2021 0 repositories listed
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AutoMO-Mixer: An automated multi-objective multi-layer perspecton Mixer model for medical image based diagnosis29 Sep 2021 0 repositories listed
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AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization29 Sep 2021 0 repositories listed
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Benchmarking Algorithms from Machine Learning for Low-Budget Black-Box Optimization29 Sep 2021 0 repositories listed
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Differentiable Hyper-parameter Optimization29 Sep 2021 0 repositories listed
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Expected Improvement-based Contextual Bandits29 Sep 2021 0 repositories listed
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H-Entropy Search: Generalizing Bayesian Optimization with a Decision-theoretic Uncertainty Measure29 Sep 2021 0 repositories listed
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Neural Bootstrapping Attention for Neural Processes29 Sep 2021 0 repositories listed
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πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization29 Sep 2021 0 repositories listed
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RoDesigner: Variation-Aware Optimization for Robust Analog Design with Multi-Task RL29 Sep 2021 0 repositories listed
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DEBOSH: Deep Bayesian Shape Optimization28 Sep 2021 0 repositories listed
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A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging24 Sep 2021 0 repositories listed
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Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model24 Sep 2021 0 repositories listed
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A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems22 Sep 2021 0 repositories listed
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Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization14 Sep 2021 0 repositories listed
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Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms13 Sep 2021 0 repositories listed
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Learning Performance Bounds for Safety-Critical Systems9 Sep 2021 0 repositories listed
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An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures1 Sep 2021 0 repositories listed
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LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces1 Sep 2021 0 repositories listed
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Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints26 Aug 2021 0 repositories listed
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Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma21 Aug 2021 0 repositories listed
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Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control20 Aug 2021 0 repositories listed
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MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images19 Aug 2021 0 repositories listed
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Sonic: A Sampling-based Online Controller for Streaming Applications15 Aug 2021 0 repositories listed
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Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers12 Aug 2021 0 repositories listed
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Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning10 Aug 2021 0 repositories listed
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High dimensional Bayesian Optimization Algorithm for Complex System in Time Series4 Aug 2021 0 repositories listed
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Solving Fashion Recommendation -- The Farfetch Challenge3 Aug 2021 0 repositories listed
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BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver31 Jul 2021 0 repositories listed
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Bayesian Optimization in Materials Science: A Survey29 Jul 2021 0 repositories listed
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Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce19 Jul 2021 0 repositories listed
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Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges13 Jul 2021 0 repositories listed
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Recent advances in Bayesian optimization with applications to parameter reconstruction in optical nano-metrology12 Jul 2021 0 repositories listed
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Many Objective Bayesian Optimization8 Jul 2021 0 repositories listed
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Scaling Gaussian Processes with Derivative Information Using Variational Inference8 Jul 2021 0 repositories listed
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Mutation is all you need4 Jul 2021 0 repositories listed
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Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins29 Jun 2021 0 repositories listed
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An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis28 Jun 2021 0 repositories listed