Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation Maximilian Spliethover Jonas Klaff Hendrik Heuer 11 10 0 24 Jun 2019
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants Yalong Liu Jie Li Ying Wang Miaomiao Wang Fan Wu Zhicheng Jiao Jian Yang Xingbo Gao MedIm 30 10 0 24 Jun 2019
Meta-learning of textual representations Jorge G. Madrid Hugo Jair Escalante E. Morales AI4TS 6 7 0 21 Jun 2019
Sparse Spectrum Gaussian Process for Bayesian Optimization Ang Yang Cheng Li Santu Rana Sunil R. Gupta Svetha Venkatesh 15 5 0 21 Jun 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs Binxin Ru A. Alvi Vu Nguyen Michael A. Osborne Stephen J. Roberts 35 96 0 20 Jun 2019
REflex: Flexible Framework for Relation Extraction in Multiple Domains Geeticka Chauhan Matthew B. A. McDermott Peter Szolovits 13 13 0 19 Jun 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 19 615 0 19 Jun 2019
Towards White-box Benchmarks for Algorithm Control André Biedenkapp H. Bozkurt Frank Hutter Marius Lindauer 84 7 0 18 Jun 2019
Bayesian Optimization with Binary Auxiliary Information Yehong Zhang Zhongxiang Dai K. H. Low 19 26 0 17 Jun 2019
Sample-Efficient Neural Architecture Search by Learning Action Space Linnan Wang Saining Xie Teng Li Rodrigo Fonseca Yuandong Tian 15 45 0 17 Jun 2019
A gray-box approach for curriculum learning Francesco Foglino Matteo Leonetti Simone Sagratella R. Seccia 17 5 0 17 Jun 2019
Global optimization via inverse distance weighting and radial basis functions Alberto Bemporad 21 62 0 15 Jun 2019
Meaning to Form: Measuring Systematicity as Information Tiago Pimentel Arya D. McCarthy Damián E. Blasi Brian Roark Ryan Cotterell 12 33 0 13 Jun 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design Tingwu Wang Yuhao Zhou Sanja Fidler Jimmy Ba 31 61 0 12 Jun 2019
A Model to Search for Synthesizable Molecules John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 32 108 0 12 Jun 2019
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design Maryam Parsa Aayush Ankit A. Ziabari Kaushik Roy 19 28 0 11 Jun 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 38 788 0 10 Jun 2019
Sampling Humans for Optimizing Preferences in Coloring Artwork M. McCourt Ian Dewancker 6 1 0 10 Jun 2019
Automated Machine Learning: State-of-The-Art and Open Challenges Radwa El Shawi Mohamed Maher Sherif Sakr 25 158 0 05 Jun 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 17 2,617 0 05 Jun 2019
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations David Calhas E. Romero Rui Henriques 6 28 0 05 Jun 2019
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers R. G. Mantovani André Luis Debiaso Rossi Edesio Alcobaça Joaquin Vanschoren A. Carvalho 12 66 0 04 Jun 2019
Bayesian Optimization of Composite Functions Raul Astudillo P. Frazier LLMAG 15 76 0 04 Jun 2019
ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detection Omid Mohamad Nezami Paria Jamshid Lou Mansoureh Karami CVBM 9 73 0 04 Jun 2019
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning Diego Granziol Binxin Ru S. Zohren Xiaowen Dong Michael A. Osborne Stephen J. Roberts 19 20 0 03 Jun 2019
Super-resolution of Time-series Labels for Bootstrapped Event Detection Ivan Kiskin U. Meepegama Stephen J. Roberts 12 2 0 01 Jun 2019
Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks Mohammad Pirhooshyaran L. Snyder AI4TS 27 7 0 01 Jun 2019
Adaptive Model Refinement with Batch Bayesian Sampling for Optimization of Bio-inspired Flow Tailoring P. Ghassemi S. Lulekar Souma Chowdhury 20 5 0 31 May 2019
Deep Bayesian Optimization on Attributed Graphs Jiaxu Cui Bo Yang Xia Hu 11 6 0 31 May 2019
On Network Design Spaces for Visual Recognition Ilija Radosavovic Justin Johnson Saining Xie Wan-Yen Lo Piotr Dollár 27 134 0 30 May 2019
Meta-Surrogate Benchmarking for Hyperparameter Optimization Aaron Klein Zhenwen Dai Frank Hutter Neil D. Lawrence Javier I. González OffRL 14 36 0 30 May 2019
Characterizing Bias in Classifiers using Generative Models Daniel J. McDuff Shuang Ma Yale Song Ashish Kapoor 31 47 0 30 May 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 19 78 0 29 May 2019
Lifelong Bayesian Optimization Yao Zhang James Jordon Ahmed Alaa M. Schaar 28 11 0 29 May 2019
Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis Thulasi Tholeti Sheetal Kalyani MLT 14 0 0 28 May 2019
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels Yihong Chen B. Chen Xiangnan He Chen Gao Yong Li Jian-Guang Lou Yue Wang 22 46 0 28 May 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 22 61 0 27 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Automatic Discovery of Privacy-Utility Pareto Fronts Brendan Avent Javier I. González Tom Diethe Andrei Paleyes Borja Balle FedML 11 28 0 26 May 2019
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 19 16 0 26 May 2019
Efficient Batch Black-box Optimization with Deterministic Regret Bounds Yueming Lyu Yuan. Yuan Ivor W. Tsang 28 13 0 24 May 2019
Sequential Gaussian Processes for Online Learning of Nonstationary Functions M. Zhang Bianca Dumitrascu Sinead Williamson Barbara E. Engelhardt 33 8 0 24 May 2019
Decentralized Informative Path Planning with Exploration-Exploitation Balance for Swarm Robotic Search P. Ghassemi Souma Chowdhury 13 9 0 24 May 2019
Bayesian Optimization with Approximate Set Kernels Jungtaek Kim M. McCourt Tackgeun You Saehoon Kim Seungjin Choi 24 8 0 23 May 2019
A Convolutional Cost-Sensitive Crack Localization Algorithm for Automated and Reliable RC Bridge Inspection S. Sajedi Xiao Liang 11 29 0 23 May 2019
DEEP-BO for Hyperparameter Optimization of Deep Networks Hyunghun Cho Yongjin Kim Eunjung Lee Daeyoung Choi Yongjae Lee Wonjong Rhee 16 1 0 23 May 2019
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development Micah J. Smith Carles Sala Cladellas James Max Kanter K. Veeramachaneni 24 49 0 22 May 2019
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization Jungtaek Kim Seungjin Choi 16 0 0 18 May 2019
AutoDispNet: Improving Disparity Estimation With AutoML Tonmoy Saikia Yassine Marrakchi Arber Zela Frank Hutter Thomas Brox 19 78 0 17 May 2019
Alpha MAML: Adaptive Model-Agnostic Meta-Learning Harkirat Singh Behl A. G. Baydin Philip Torr 33 67 0 17 May 2019