Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Phonotactic Complexity and its Trade-offs Tiago Pimentel Brian Roark Ryan Cotterell 38 37 0 07 May 2020
Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters Wei Zhang Quan Chen Kaihua Fu Ningxin Zheng Zhiyi Huang Jingwen Leng Chao Li Wenli Zheng Minyi Guo 27 3 0 05 May 2020
Frugal Optimization for Cost-related Hyperparameters Qingyun Wu Chi Wang Silu Huang 21 1 0 04 May 2020
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm Gongjin Lan Jakub M. Tomczak D. Roijers A. E. Eiben 84 80 0 04 May 2020
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing Clara Meister Elizabeth Salesky Ryan Cotterell UQCV 8 61 0 02 May 2020
Predicting Declension Class from Form and Meaning Adina Williams Tiago Pimentel Arya D. McCarthy Hagen Blix Eleanor Chodroff Ryan Cotterell AI4CE 39 20 0 01 May 2020
Can a powerful neural network be a teacher for a weaker neural network? Nicola Landro I. Gallo Riccardo La Grassa 16 0 0 01 May 2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning Hanrui Wang Kuan-Chieh Wang Jiacheng Yang Linxiao Shen Nan Sun Hae-Seung Lee Song Han GNN 21 232 0 30 Apr 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets Rishabh Agarwal Levi Melnick Nicholas Frosst Xuezhou Zhang Ben Lengerich R. Caruana Geoffrey E. Hinton 46 406 0 29 Apr 2020
MATE: A Model-based Algorithm Tuning Engine Mohamed El Yafrani M. Martins Inkyung Sung Markus Wagner Carola Doerr Peter Nielsen 12 4 0 27 Apr 2020
Compromise-free Bayesian neural networks K. Javid Will Handley Michael P. Hobson A. Lasenby UQCV BDL 30 8 0 25 Apr 2020
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning S. H. Shabbeer Basha Sravan Kumar Vinakota Viswanath Pulabaigari Snehasis Mukherjee S. Dubey 32 39 0 25 Apr 2020
Automatic low-bit hybrid quantization of neural networks through meta learning Tao Wang Junsong Wang Chang Xu Chao Xue MQ 16 2 0 24 Apr 2020
On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints Alma A. M. Rahat M. Wood 11 2 0 23 Apr 2020
Bayesian Optimization of Hyperparameters from Noisy Marginal Likelihood Estimates Oskar Gustafsson M. Villani Pär Stockhammar 6 2 0 21 Apr 2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 21 4 0 21 Apr 2020
What do you Mean? The Role of the Mean Function in Bayesian Optimisation George De Ath J. Fieldsend Richard Everson 27 16 0 17 Apr 2020
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning Lama Alfaseeh R. Tu Bilal Farooq M. Hatzopoulou 26 46 0 16 Apr 2020
Combinatorial 3D Shape Generation via Sequential Assembly Jungtaek Kim H. Chung Jinhwi Lee Minsu Cho Jaesik Park 27 21 0 16 Apr 2020
A Fortran-Keras Deep Learning Bridge for Scientific Computing J. Ott M. Pritchard Natalie Best Erik J. Linstead M. Curcic Pierre Baldi AI4CE 10 96 0 14 Apr 2020
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension A. Maharana Joey Tianyi Zhou AAML 20 13 0 13 Apr 2020
Workflow Automation for Cyber Physical System Development Processes Charles Hartsell N. Mahadevan Harmon Nine T. Bapty A. Dubey G. Karsai 13 2 0 12 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 25 41 0 11 Apr 2020
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting Sayan Putatunda Kiran Rama 16 28 0 10 Apr 2020
Federated Multi-view Matrix Factorization for Personalized Recommendations Adrian Flanagan Were Oyomno A. Grigorievskiy K. E. Tan Suleiman A. Khan Muhammad Ammad-ud-din FedML 6 69 0 08 Apr 2020
Weighted Random Search for Hyperparameter Optimization A. Florea Razvan Andonie 31 48 0 03 Apr 2020
How Good are Low-Rank Approximations in Gaussian Process Regression? C. Daskalakis P. Dellaportas A. Panos 19 3 0 03 Apr 2020
Neural Architecture Generator Optimization Binxin Ru P. Esperança Fabio Maria Carlucci 20 40 0 03 Apr 2020
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints E.C. Garrido-Merchán Daniel Hernández-Lobato 30 16 0 01 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 66 2,619 0 01 Apr 2020
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution Filipe Assunção Nuno Lourenço B. Ribeiro Penousal Machado 14 15 0 01 Apr 2020
Weighted Random Search for CNN Hyperparameter Optimization Razvan Andonie A. Florea 33 56 0 30 Mar 2020
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling HanQin Cai Daniel McKenzie W. Yin Zhenliang Zhang 68 49 0 29 Mar 2020
Bayesian Hierarchical Multi-Objective Optimization for Vehicle Parking Route Discovery Romit S. Beed Sunita Sarkar Arindam Roy 9 2 0 27 Mar 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning Sourya Dey Saikrishna C. Kanala K. Chugg Peter A. Beerel 20 4 0 27 Mar 2020
Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality Michael B. Mayhew Elizabeth Tran K. Choi U. Midic Roland Lüthy N. Damaraju L. Buturovic 10 0 0 27 Mar 2020
Incorporating Expert Prior in Bayesian Optimisation via Space Warping Anil Ramachandran Sunil R. Gupta Santu Rana Cheng Li Svetha Venkatesh 20 36 0 27 Mar 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 58 106 0 26 Mar 2020
Preferential Batch Bayesian Optimization E. Siivola Akash Kumar Dhaka Michael Riis Andersen Javier I. González Pablo G. Moreno Aki Vehtari 6 23 0 25 Mar 2020
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization Jiaxiang Li Krishnakumar Balasubramanian Shiqian Ma 12 5 0 25 Mar 2020
Model-based Asynchronous Hyperparameter and Neural Architecture Search Aaron Klein Louis C. Tiao Thibaut Lienart Cédric Archambeau Matthias Seeger 31 5 0 24 Mar 2020
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding Amrit Singh Bedi Dheeraj Peddireddy Vaneet Aggarwal Brian M. Sadler Alec Koppel 8 1 0 23 Mar 2020
Cost-aware Bayesian Optimization E. Lee Valerio Perrone Cédric Archambeau Matthias Seeger 22 57 0 22 Mar 2020
Tune smarter not harder: A principled approach to tuning learning rates for shallow nets Thulasi Tholeti Sheetal Kalyani 21 4 0 22 Mar 2020
Towards Automatic Bayesian Optimization: A first step involving acquisition functions E.C. Garrido-Merchán Luis C. Jariego Pérez 22 1 0 21 Mar 2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture Anh Tran J. Furlan T. Wildey S. McCann K. Pagalthivarthi R. Visintainer 33 9 0 20 Mar 2020
Sequential Bayesian Experimental Design for Implicit Models via Mutual Information Steven Kleinegesse Christopher C. Drovandi Michael U. Gutmann 21 28 0 20 Mar 2020
Building a COVID-19 Vulnerability Index David DeCaprio J. Gartner Thadeus Burgess Kristian Garcia Sarthak Kothari S. Sayed C. McCall 31 144 0 16 Mar 2020
Data-driven surrogate modelling and benchmarking for process equipment G. Gonçalves A. Batchvarov Yuyi Liu Yuxin Liu L. Mason Indranil Pan Omar K. Matar 6 7 0 13 Mar 2020
The Elliptical Processes: a Family of Fat-tailed Stochastic Processes Maria Bånkestad Jens Sjölund Jalil Taghia Thomas B. Schon 28 1 0 13 Mar 2020