Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

50 / 2,248 papers shown

Title
Fully Distributed Bayesian Optimization with Stochastic Policies Javier Garcia-Barcos Ruben Martinez-Cantin OffRL 22 14 0 26 Feb 2019
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services Inon Peled Kelvin Lee Yu Jiang Justin Dauwels Francisco Câmara Pereira 24 9 0 26 Feb 2019
Topological Bayesian Optimization with Persistence Diagrams T. Shiraishi Tam Le H. Kashima M. Yamada 23 2 0 26 Feb 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 12 673 0 25 Feb 2019
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines Aritra Chowdhury M. Magdon-Ismail B. Yener 32 3 0 25 Feb 2019
Entity Personalized Talent Search Models with Tree Interaction Features C. Ozcaglar S. Geyik Brian Schmitz Prakhar Sharma Alex Shelkovnykov Yiming Ma Erik Buchanan 11 13 0 25 Feb 2019
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions Xudong Sun Andrea Bommert Florian Pfisterer Jörg Rahnenführer Michel Lang B. Bischl FedML 22 12 0 24 Feb 2019
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines Aritra Chowdhury M. Magdon-Ismail B. Yener 35 0 0 21 Feb 2019
Bayesian optimisation under uncertain inputs Rafael Oliveira Lionel Ott F. Ramos 32 43 0 21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 36 718 0 20 Feb 2019
Learning Optimal Linear Regularizers Matthew J. Streeter 16 8 0 19 Feb 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 54 97 0 19 Feb 2019
Efficient Memory Management for GPU-based Deep Learning Systems Junzhe Zhang Sai-Ho Yeung Yao Shu Bingsheng He Wei Wang 24 41 0 19 Feb 2019
Evolutionary Neural AutoML for Deep Learning J. Liang Elliot Meyerson B. Hodjat Daniel Fink Karl Mutch Risto Miikkulainen 20 105 0 18 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection Baihong Jin Yuxin Chen Dan Li K. Poolla Alberto L. Sangiovanni-Vincentelli 11 31 0 18 Feb 2019
Fast Task-Aware Architecture Inference Efi Kokiopoulou Anja Hauth L. Sbaiz Andrea Gesmundo Gábor Bartók Jesse Berent 3DV 17 17 0 15 Feb 2019
Multi-objective Bayesian optimisation with preferences over objectives Majid Abdolshah A. Shilton Santu Rana Sunil R. Gupta Svetha Venkatesh 24 47 0 12 Feb 2019
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives Tinu Theckel Joy Santu Rana Sunil R. Gupta Svetha Venkatesh 29 55 0 06 Feb 2019
A Generalized Framework for Population Based Training Ang Li Ola Spyra Sagi Perel Valentin Dalibard Max Jaderberg Chenjie Gu David Budden Tim Harley Pramod Gupta 31 68 0 05 Feb 2019
Bayesian optimization in ab initio nuclear physics A. Ekström C. Forssén Christos Dimitrakakis D. Dubhashi H. Johansson A. Muhammad H. Salomonsson Alexander Schliep 11 30 0 03 Feb 2019
Learned Indexes for Dynamic Workloads Chuzhe Tang Zhiyuan Dong Minjie Wang Zhaoguo Wang Haibo Chen 6 7 0 02 Feb 2019
Hyper-parameter Tuning under a Budget Constraint Zhiyun Lu Chao-Kai Chiang Fei Sha 17 17 0 01 Feb 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product Changyong Oh Jakub M. Tomczak E. Gavves Max Welling 24 105 0 01 Feb 2019
Learnable Embedding Space for Efficient Neural Architecture Compression Shengcao Cao Xiaofang Wang Kris Kitani 14 43 0 01 Feb 2019
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language Willie Neiswanger Kirthevasan Kandasamy Barnabás Póczós J. Schneider Eric Xing 36 17 0 31 Jan 2019
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution Ke Li Zilin Xiang Kay Chen Tan 16 28 0 30 Jan 2019
A Convolutional Neural Network for the Automatic Diagnosis of Collagen VI related Muscular Dystrophies A. Bazaga M. Roldán C. Badosa C. Jiménez-Mallebrera J. Porta MedIm 16 5 0 30 Jan 2019
Learning to Project in Multi-Objective Binary Linear Programming Alvaro Sierra-Altamiranda Hadi Charkhgard Iman Dayarian A. Eshragh Sorna Javadi 9 1 0 30 Jan 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Muhammad Ammad-ud-din E. Ivannikova Suleiman A. Khan Were Oyomno Qiang Fu K. E. Tan Adrian Flanagan FedML 37 270 0 29 Jan 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 26 193 0 29 Jan 2019
Black Box Submodular Maximization: Discrete and Continuous Settings Lin Chen Mingrui Zhang Hamed Hassani Amin Karbasi 21 16 0 28 Jan 2019
Towards Practical Lipschitz Bandits Tianyu Wang Weicheng Ye Dawei Geng Cynthia Rudin 19 1 0 26 Jan 2019
Pricing options and computing implied volatilities using neural networks Shuaiqiang Liu C. Oosterlee S. Bohté 21 119 0 25 Jan 2019
Local dimension reduction of summary statistics for likelihood-free inference Jukka Sirén Samuel Kaski 11 2 0 25 Jan 2019
Evaluation Function Approximation for Scrabble Rishabh Agarwal LLMAG 21 0 0 25 Jan 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization Shion Takeno H. Fukuoka Yuhki Tsukada T. Koyama M. Shiga Ichiro Takeuchi Masayuki Karasuyama 24 40 0 24 Jan 2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design Atin Sood Benjamin Elder Benjamin Herta Chao Xue C. Bekas ... M. Choudhury Rong Yan R. Istrate Ruchi Puri Tejaswini Pedapati SyDa 35 7 0 17 Jan 2019
Deep learning-based electroencephalography analysis: a systematic review Yannick Roy Hubert J. Banville Isabela Albuquerque Alexandre Gramfort T. Falk J. Faubert 25 937 0 16 Jan 2019
Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques D. Lu D. Ricciuto 14 43 0 16 Jan 2019
A Modern Retrospective on Probabilistic Numerics Chris J. Oates T. Sullivan AI4CE 24 64 0 14 Jan 2019
Gradient Regularized Budgeted Boosting Z. Xu Matt J. Kusner Kilian Q. Weinberger A. Zheng 19 2 0 13 Jan 2019
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology Kasun Bandara Peibei Shi Christoph Bergmeir Hansika Hewamalage Quoc-Huy Tran Brian Seaman AI4TS 35 146 0 13 Jan 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters Felix Berkenkamp Angela P. Schoellig Andreas Krause TPM 31 72 0 10 Jan 2019
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization Miao Zhang Huiqi Li Juan Lyu S. Ling Steven W. Su AI4CE 22 11 0 02 Jan 2019
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack Haishan Ye Zhichao Huang Cong Fang C. J. Li Tong Zhang AAML 26 41 0 29 Dec 2018
Bayesian Optimization in AlphaGo Yutian Chen Aja Huang Ziyun Wang Ioannis Antonoglou Julian Schrittwieser David Silver Nando de Freitas BDL 22 113 0 17 Dec 2018
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study Matthias Neumann-Brosig A. Marco D. Schwarzmann Sebastian Trimpe 16 91 0 15 Dec 2018
Dynamic Transfer Learning for Named Entity Recognition Parminder Bhatia Kristjan Arumae B. Celikkaya 40 24 0 13 Dec 2018
Joint Entity Extraction and Assertion Detection for Clinical Text Parminder Bhatia B. Celikkaya Mohammed Khalilia MedIm 43 32 0 13 Dec 2018