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
Code Failure Prediction and Pattern Extraction using LSTM Networks Mahdi Hajiaghayi E. Vahedi 35 24 0 13 Dec 2018
Doubly Bayesian Optimization Alexander Lavin 30 0 0 11 Dec 2018
Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation Shenhao Wang Qingyi Wang Jinhuan Zhao 6 13 0 11 Dec 2018
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection Xueqiang Zeng G. Luo 11 74 0 06 Dec 2018
Layer Flexible Adaptive Computational Time Lida Zhang Abdolghani Ebrahimi Diego Klabjan AI4CE 36 1 0 06 Dec 2018
Efficient and Robust Machine Learning for Real-World Systems Franz Pernkopf Wolfgang Roth Matthias Zöhrer Lukas Pfeifenberger Günther Schindler Holger Froening Sebastian Tschiatschek Robert Peharz Matthew Mattina Zoubin Ghahramani OOD 27 1 0 05 Dec 2018
Auto-tuning TensorFlow Threading Model for CPU Backend N. Hasabnis BDL 14 15 0 04 Dec 2018
Deep Inverse Optimization Yingcong Tan Andrew Delong Daria Terekhov 22 22 0 03 Dec 2018
Automatic hyperparameter selection in Autodock H. Rakhshani L. Idoumghar Julien Lepagnot Mathieu Brévilliers E. Keedwell 23 1 0 02 Dec 2018
Learning Representations of Social Media Users Adrian Benton 20 1 0 02 Dec 2018
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks Yihan Jiang Hyeji Kim Himanshu Asnani Sreeram Kannan Sewoong Oh Pramod Viswanath 40 79 0 30 Nov 2018
Prediction Factory: automated development and collaborative evaluation of predictive models Gaurav Sheni B. Schreck Roy Wedge James Max Kanter K. Veeramachaneni 6 4 0 29 Nov 2018
Deep Collective Matrix Factorization for Augmented Multi-View Learning Ragunathan Mariappan Vaibhav Rajan 9 14 0 28 Nov 2018
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series Charlotte Pelletier Geoffrey I. Webb F. Petitjean 24 431 0 26 Nov 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang Beomjoon Kim L. Kaelbling 27 54 0 23 Nov 2018
Learning Multiple Defaults for Machine Learning Algorithms Florian Pfisterer Jan N. van Rijn Philipp Probst Andreas Müller B. Bischl 25 26 0 23 Nov 2018
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes Jialin Song Y. Tokpanov Yuxin Chen Dagny Fleischman Katherine T Fountaine H. Atwater Yisong Yue 25 8 0 15 Nov 2018
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations Arindam Paul Dipendra Jha Reda Al-Bahrani W. Liao A. Choudhary Ankit Agrawal 19 43 0 14 Nov 2018
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 24 19 0 09 Nov 2018
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization E.C. Garrido-Merchán Alejandro Albarca-Molina 18 8 0 09 Nov 2018
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO Daning Cheng Hanping Zhang Xia Fen Shigang Li Yunquan Zhang 14 0 0 08 Nov 2018
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset Silu Huang Chi Wang Bolin Ding S. Chaudhuri 18 0 0 08 Nov 2018
Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates Yang Li Jiawei Jiang Yingxia Shao Bin Cui AI4CE 11 0 0 06 Nov 2018
Practical Batch Bayesian Optimization for Less Expensive Functions Vu Nguyen Sunil R. Gupta Santu Rana Cheng Li Svetha Venkatesh 27 3 0 05 Nov 2018
Toward Verifiable Real-Time Obstacle Motion Prediction for Dynamic Collision Avoidance Vince Kurtz Hai Lin 6 11 0 02 Nov 2018
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes Jialin Song Yuxin Chen Yisong Yue 19 101 0 02 Nov 2018
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction Hongyuan Zhan G. Gomes Xin Li Kamesh Madduri Kesheng Wu 17 6 0 01 Nov 2018
Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations Mei Lin Vanya Jaitly Iris Wang Z. Hu Lei Chen M. A. Wahed Z. Kanaan A. Rios A. Nguyen 11 10 0 30 Oct 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 30 178 0 29 Oct 2018
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells Vladimir Nekrasov Hao Chen Chunhua Shen Ian Reid SSeg 16 147 0 25 Oct 2018
Adversarially Robust Optimization with Gaussian Processes Ilija Bogunovic Jonathan Scarlett Stefanie Jegelka V. Cevher GP AAML 11 125 0 25 Oct 2018
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 36 263 0 25 Oct 2018
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach Rajat Sen Kirthevasan Kandasamy Sanjay Shakkottai 14 23 0 24 Oct 2018
Understanding and correcting pathologies in the training of learned optimizers Luke Metz Niru Maheswaranathan Jeremy Nixon C. Freeman Jascha Narain Sohl-Dickstein ODL 42 149 0 24 Oct 2018
LAMVI-2: A Visual Tool for Comparing and Tuning Word Embedding Models Xin Rong Joshua Luckson Eytan Adar VLM 15 2 0 22 Oct 2018
Hyperparameter Learning via Distributional Transfer H. Law P. Zhao Lucian Chan Junzhou Huang Dino Sejdinovic 30 25 0 15 Oct 2018
A System for Massively Parallel Hyperparameter Tuning Liam Li Kevin G. Jamieson Afshin Rostamizadeh Ekaterina Gonina Moritz Hardt Benjamin Recht Ameet Talwalkar 24 373 0 13 Oct 2018
Variational Bayesian Monte Carlo Luigi Acerbi BDL 18 64 0 12 Oct 2018
Practical Design Space Exploration Luigi Nardi D. Koeplinger K. Olukotun 19 86 0 11 Oct 2018
A Simple Way to Deal with Cherry-picking Junpei Komiyama Takanori Maehara 11 3 0 11 Oct 2018
Automatic Configuration of Deep Neural Networks with EGO Bas van Stein Hao Wang Thomas Bäck 11 17 0 10 Oct 2018
Combining Bayesian Optimization and Lipschitz Optimization Mohamed Osama Ahmed Sharan Vaswani Mark Schmidt 28 22 0 10 Oct 2018
Practical Bayesian Optimization for Transportation Simulators Laura Schultz Vadim Sokolov 24 6 0 08 Oct 2018
Deep calibration of rough stochastic volatility models Christian Bayer Benjamin Stemper 4 71 0 08 Oct 2018
Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance Luis F. R. Taveira Tahsin M. Kurc A. C. Melo Jun Kong Erich Bremer Joel H. Saltz George Teodoro 24 1 0 05 Oct 2018
Identifying Bias in AI using Simulation Daniel J. McDuff R. Cheng Ashish Kapoor 10 22 0 30 Sep 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 22 67 0 30 Sep 2018
Adaptive Gaussian process surrogates for Bayesian inference Timur Takhtaganov Juliane Müller GP TPM 17 10 0 27 Sep 2018
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning Maxime Petit Amaury Depierre Xiaofang Wang Emmanuel Dellandrea Liming Chen 4 1 0 26 Sep 2018
Text Similarity in Vector Space Models: A Comparative Study O. Shahmirzadi A. Lugowski Kenneth Younge 24 81 0 24 Sep 2018