Search Results - Bayesian algorithm execution

Targeted materials discovery using Bayesian algorithm execution by Chitturi, Sathya R., Ramdas, Akash, Wu, Yue, Rohr, Brian, Ermon, Stefano, Dionne, Jennifer, Jornada, Felipe H. da, Dunne, Mike, Tassone, Christopher, Neiswanger, Willie, Ratner, Daniel

“… A popular strategy is Bayesian optimization, which aims to find candidates that maximize material properties…”
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Targeted materials discovery using Bayesian algorithm execution by Chitturi, Sathya R., Ramdas, Akash, Wu, Yue, Rohr, Brian, Ermon, Stefano, Dionne, Jennifer, Jornada, Felipe H. da, Dunne, Mike, Tassone, Christopher, Neiswanger, Willie, Ratner, Daniel

“… A popular strategy is Bayesian optimization, which aims to find candidates that maximize material properties…”
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Practical Bayesian Algorithm Execution via Posterior Sampling by Chu, Xin Cheng, Astudillo, Raul, Desautels, Thomas, Yue, Yisong

“…We consider Bayesian algorithm execution (BAX), a framework for efficiently selecting evaluation points of an expensive function to infer a property of interest encoded as the output of a base algorithm…”
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Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives by Ayoub Miskovich, Sara, Neiswanger, Willie, Colocho, William, Emma, Claudio, Garrahan, Jacqueline, Maxwell, Timothy, Mayes, Christopher, Ermon, Stefano, Edelen, Auralee, Ratner, Daniel

“… from Bayesian Algorithm Execution (BAX). Our method avoids the slow multipoint query on the accelerator…”
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Targeted materials discovery using Bayesian algorithm execution by Chitturi, Sathya, Ramdas, Akash, Wu, Yue, Rohr, Brian, Ermon, Stefano, Dionne, Jennifer, da Jornada, Felipe H, Dunne, Mike, Tassone, Christopher, Neiswanger, Willie, Ratner, Daniel

“… A popular strategy is Bayesian optimization, which aims to find candidates that maximize material properties…”
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Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution by Moosbauer, Julia, Casalicchio, Giuseppe, Lindauer, Marius, Bischl, Bernd

“…Despite all the benefits of automated hyperparameter optimization (HPO), most modern HPO algorithms are black-boxes themselves…”
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Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information by Neiswanger, Willie, Wang, Ke Alexander, Ermon, Stefano

“…{A}\), and a prior distribution over \(f\), we refer to the problem of inferring the output of \(\mathcal{A}\) using \(T\) evaluations as Bayesian Algorithm Execution…”
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Advanced hybrid stochastic dynamic Bayesian network inference algorithm development in the context of the web applications test execution by Azarnova, T V, Polukhin, P V

“…The article is devoted to the application of dynamic Bayesian networks models for fuzzing web applications and development of effective hybrid algorithms for probabilistic inference based on particle filter algorithm…”
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Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand by Sultana, Nahid, Hossain, S. M. Zakir, Almuhaini, Salma Hamad, Düştegör, Dilek

“…) the execution of a Bayesian optimization algorithm (BOA) to optimize the model hyperparameters, (iii…”
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Computing the execution probability of jobs with replication in mixed-criticality schedules by Novak, Antonin, Hanzalek, Zdenek

“… The processing time of jobs is observed during the online execution of the schedule with the prolongations of critical jobs being compensated by the rejection of less critical ones…”
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Real-time search-free multiple license plate recognition via likelihood estimation of saliency by Safaei, Amin, Tang, Hongying L., Sanei, Saeid

“…•This method uses a 3-D object tracking algorithm based on Bayesian methods to estimate the 3-D salient regions by exploiting the motion information in the videos…”
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Methodology for contamination detection and reduction in fermentation processes using machine learning by Nguyen, Xuan Dung James, Liu, Y. A., McDowell, Christopher C., Dooley, Luke

“… the parallel execution of hyperparameter optimization (HPO). We recommend using Bayesian optimization with hyperband algorithm to carry out HPO…”
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Rate-Invariant Recognition of Humans and Their Activities by Veeraraghavan, A., Srivastava, A., Roy-Chowdhury, A.K., Chellappa, R.

“… While traditional pattern-theoretic approaches account for the spatial changes that occur due to lighting and pose, very little has been done to address the effect of temporal rate changes in the executions of an event…”
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A Data-Driven Bayesian Koopman Learning Method for Modeling Hysteresis Dynamics by Huang, Xiang, Zhang, Hai-Tao, Wang, Jun

“… positioning, detection, execution, and other operations. In this article, a Bayesian Koopman (B-Koopman…”
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Towards a cross-level understanding of Bayesian inference in the brain by Lin, Chin-Hsuan Sophie, Garrido, Marta I.

“… Bayesian decision theory is a prominent computational model that describes how people make rational decisions using noisy and ambiguous sensory observations…”
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Bayesian Collaborative Denoising for Monte Carlo Rendering by Boughida, Malik, Boubekeur, Tamy

“…The stochastic nature of Monte Carlo rendering algorithms inherently produces noisy images…”
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Research on Hierarchical Control of Intelligent Industrial Vehicle Path Tracking Based on Fully Hydraulic Steering Time Delay by Xia, Guang, Jiang, Tao, Tang, Xiwen, Zhang, Yang, Wang, Shaojie

“… The lower execution layer uses a time delay probability model and variational Bayesian algorithm to estimate the optimal time-delay value and combines with proposed input…”
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How to train your differentiable filter by Kloss, Alina, Martius, Georg, Bohg, Jeannette

“… Bayesian Filtering algorithms address this state estimation problem, but they require models of process dynamics and sensory observations and the respective noise characteristics of these models…”
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A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization by Moradabadi, Behnaz, Beigy, Hamid

“… Bayesian optimization algorithm is an estimation of distribution algorithm, which uses a Bayesian network to estimate the distribution of candidate solutions and then generates the next generation…”
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Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives by Miskovich, Sara A, Neiswanger, Willie, Colocho, William, Claudio, Emma, Garrahan, Jacqueline, Maxwell, Timothy, Mayes, Christopher, Ermon, Stefano, Edelen, Auralee, Ratner, Daniel

“… from Bayesian Algorithm Execution (BAX). Our method avoids the slow multipoint query…”
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