Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Reviving and Improving Recurrent Back-Propagation Renjie Liao Yuwen Xiong Ethan Fetaya Lisa Zhang Kijung Yoon Xaq Pitkow R. Urtasun R. Zemel BDL 44 118 0 16 Mar 2018
Constant-Time Predictive Distributions for Gaussian Processes Geoff Pleiss Jacob R. Gardner Kilian Q. Weinberger A. Wilson 25 94 0 16 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 25 45 0 11 Mar 2018
Bayesian Optimization for Dynamic Problems Favour Nyikosa Michael A. Osborne Stephen J. Roberts 34 40 0 09 Mar 2018
Transfer Learning with Neural AutoML Catherine Wong N. Houlsby Yifeng Lu Andrea Gesmundo 19 114 0 07 Mar 2018
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded Miten Mistry Dimitrios Letsios G. Krennrich Robert M. Lee Ruth Misener OffRL 34 50 0 02 Mar 2018
Autostacker: A Compositional Evolutionary Learning System Boyuan Chen Harvey Wu Warren Mo I. Chattopadhyay Hod Lipson BDL 13 84 0 02 Mar 2018
Tunability: Importance of Hyperparameters of Machine Learning Algorithms Philipp Probst B. Bischl A. Boulesteix 17 600 0 26 Feb 2018
Stochastic Hyperparameter Optimization through Hypernetworks Jonathan Lorraine David Duvenaud 47 139 0 26 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 704 0 26 Feb 2018
Product Kernel Interpolation for Scalable Gaussian Processes Jacob R. Gardner Geoff Pleiss Ruihan Wu Kilian Q. Weinberger A. Wilson 27 71 0 24 Feb 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood T. Kajihara Motonobu Kanagawa Keisuke Yamazaki Kenji Fukumizu 37 13 0 23 Feb 2018
Sleep-deprived Fatigue Pattern Analysis using Large-Scale Selfies from Social Med Xuefeng Peng Jiebo Luo C. Glenn Li-Kai Chi Jingyao Zhan CVBM 14 3 0 22 Feb 2018
Complex-valued Neural Networks with Non-parametric Activation Functions Simone Scardapane S. Van Vaerenbergh Amir Hussain A. Uncini 23 81 0 22 Feb 2018
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning Hyeontaek Lim D. Andersen M. Kaminsky 21 70 0 21 Feb 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa M. Schaar 22 85 0 20 Feb 2018
The Gaussian Process Autoregressive Regression Model (GPAR) James Requeima Will Tebbutt W. Bruinsma Richard Turner 27 39 0 20 Feb 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland Jonathan Scarlett Ilija Bogunovic V. Cevher 30 115 0 20 Feb 2018
Rapid Bayesian optimisation for synthesis of short polymer fiber materials Cheng Li David Rubín de Celis Leal Santu Rana Sunil R. Gupta A. Sutti S. Greenhill Teo Slezak Murray Height Svetha Venkatesh AI4CE 28 111 0 16 Feb 2018
Explainable Prediction of Medical Codes from Clinical Text J. Mullenbach Sarah Wiegreffe J. Duke Jimeng Sun Jacob Eisenstein FAtt 29 567 0 15 Feb 2018
High Dimensional Bayesian Optimization Using Dropout Cheng Li Sunil R. Gupta Santu Rana Vu Nguyen Svetha Venkatesh A. Shilton 26 130 0 15 Feb 2018
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning Haoyu Zhang Logan Stafman Andrew Or M. Freedman 38 140 0 13 Feb 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions Nicolas Vasilache O. Zinenko Theodoros Theodoridis Priya Goyal Zach DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen 40 432 0 13 Feb 2018
client2vec: Towards Systematic Baselines for Banking Applications Leonardo Baldassini Jose Antonio Rodríguez Serrano AI4TS 19 11 0 12 Feb 2018
Latent Variable Time-varying Network Inference Federico Tomasi Veronica Tozzo Saverio Salzo A. Verri CML 21 20 0 12 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 20 601 0 11 Feb 2018
Learning Correlation Space for Time Series Han Qiu Hoang Thanh Lam Francesco Fusco M. Sinn AI4TS 31 4 0 10 Feb 2018
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter Wenyi Wang William J. Welch 13 4 0 10 Feb 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 55 34 0 06 Feb 2018
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling Shinichi Shirakawa Yasushi Iwata Youhei Akimoto 20 25 0 23 Jan 2018
Optimizing Prediction Intervals by Tuning Random Forest via Meta-Validation Sean Bayley D. Falessi 15 11 0 22 Jan 2018
EffNet: An Efficient Structure for Convolutional Neural Networks Ido Freeman L. Roese-Koerner A. Kummert 33 98 0 19 Jan 2018
Overpruning in Variational Bayesian Neural Networks Brian L. Trippe Richard Turner BDL 19 53 0 18 Jan 2018
Neural Feature Learning From Relational Database Hoang Thanh Lam T. Minh M. Sinn Beat Buesser Martin Wistuba 14 8 0 16 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 19 18,998 0 13 Jan 2018
Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the NIJ "Real-Time Crime Forecasting Challenge" Seth Flaxman Michael Chirico Pau Pereira Charles E. Loeffler 13 50 0 09 Jan 2018
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation Lex Fridman Jack Terwilliger Benedikt Jenik 32 24 0 09 Jan 2018
Sequential Preference-Based Optimization Ian Dewancker Jakob Bauer M. McCourt 38 6 0 09 Jan 2018
DENSER: Deep Evolutionary Network Structured Representation Filipe Assunção Nuno Lourenço Penousal Machado B. Ribeiro 16 106 0 04 Jan 2018
PHOENICS: A universal deep Bayesian optimizer Florian Hase L. Roch C. Kreisbeck Alán Aspuru-Guzik 27 16 0 04 Jan 2018
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification P. Murugan 30 18 0 03 Jan 2018
ZOOpt: Toolbox for Derivative-Free Optimization Yu-Ren Liu Yi-Qi Hu Hong Qian Chao Qian Yang Yu GP 35 28 0 31 Dec 2017
Proteomics Analysis of FLT3-ITD Mutation in Acute Myeloid Leukemia Using Deep Learning Neural Network C. Liang Lei Chen Amer Wahed A. Nguyen 18 10 0 29 Dec 2017
Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM Chin-Jung Hsu V. Nair Vincent W. Freeh Tim Menzies 14 94 0 28 Dec 2017
Combining Static and Dynamic Features for Multivariate Sequence Classification A. Leontjeva Ilya Kuzovkin 16 27 0 20 Dec 2017
Finding Competitive Network Architectures Within a Day Using UCT Martin Wistuba 21 22 0 20 Dec 2017
A Flexible Approach to Automated RNN Architecture Generation Martin Schrimpf Stephen Merity James Bradbury R. Socher 29 15 0 20 Dec 2017
Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior P. Murugan BDL 14 28 0 19 Dec 2017
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms B. Kailkhura Jayaraman J. Thiagarajan Charvi Rastogi P. Varshney P. Bremer 16 20 0 16 Dec 2017
Nonparametric Neural Networks George Philipp J. Carbonell 27 21 0 14 Dec 2017