Non-stochastic Best Arm Identification and Hyperparameter Optimization

27 February 2015

Papers citing "Non-stochastic Best Arm Identification and Hyperparameter Optimization"

41 / 241 papers shown

Title
An ADMM Based Framework for AutoML Pipeline Configuration Sijia Liu Parikshit Ram Deepak Vijaykeerthy Djallel Bouneffouf Gregory Bramble Horst Samulowitz Dakuo Wang A. Conn Alexander G. Gray 29 75 0 01 May 2019
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications Yuanfei Luo Mengshuo Wang Hao Zhou Quanming Yao Wei-Wei Tu Yuqiang Chen Qiang Yang Wenyuan Dai 12 108 0 29 Apr 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 25 86 0 26 Apr 2019
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity Minsu Cho C. Hegde 19 11 0 24 Apr 2019
Elucidating image-to-set prediction: An analysis of models, losses and datasets Luis Villaseñor-Pineda Amaia Salvador M. Drozdzal Adriana Romero 28 12 0 11 Apr 2019
Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning Liam Li Evan R. Sparks Kevin G. Jamieson Ameet Talwalkar 8 9 0 12 Mar 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 27 164 0 07 Mar 2019
Bayes Optimal Early Stopping Policies for Black-Box Optimization Matthew J. Streeter BDL 11 0 0 21 Feb 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 36 717 0 20 Feb 2019
Metaoptimization on a Distributed System for Deep Reinforcement Learning Greg Heinrich I. Frosio OffRL 21 2 0 07 Feb 2019
Hyper-parameter Tuning under a Budget Constraint Zhiyun Lu Chao-Kai Chiang Fei Sha 14 17 0 01 Feb 2019
The Evolved Transformer David R. So Chen Liang Quoc V. Le ViT 24 460 0 30 Jan 2019
Towards Practical Lipschitz Bandits Tianyu Wang Weicheng Ye Dawei Geng Cynthia Rudin 16 1 0 26 Jan 2019
A Bandit Approach to Maximum Inner Product Search Rui Liu Tianyi Wu Barzan Mozafari 6 15 0 15 Dec 2018
Learning Multiple Defaults for Machine Learning Algorithms Florian Pfisterer Jan N. van Rijn Philipp Probst Andreas Müller B. Bischl 14 25 0 23 Nov 2018
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset Silu Huang Chi Wang Bolin Ding S. Chaudhuri 13 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
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
Automated Machine Learning: From Principles to Practices Quanming Yao Mengshuo Wang Hugo Jair Escalante Huan Zhao Qiang Yang 25 258 0 31 Oct 2018
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach Rajat Sen Kirthevasan Kandasamy Sanjay Shakkottai 6 23 0 24 Oct 2018
A System for Massively Parallel Hyperparameter Tuning Liam Li Kevin G. Jamieson Afshin Rostamizadeh Ekaterina Gonina Moritz Hardt Benjamin Recht Ameet Talwalkar 24 372 0 13 Oct 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 27 158 0 18 Jul 2018
A Hardware-Software Blueprint for Flexible Deep Learning Specialization T. Moreau Tianqi Chen Luis Vega Jared Roesch Eddie Q. Yan ... Josh Fromm Ziheng Jiang Luis Ceze Carlos Guestrin Arvind Krishnamurthy 24 70 0 11 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 29 1,073 0 04 Jul 2018
Smallify: Learning Network Size while Training Guillaume Leclerc Manasi Vartak Raul Castro Fernandez Tim Kraska Samuel Madden 6 13 0 10 Jun 2018
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification Manoj Kumar George E. Dahl Vijay Vasudevan Mohammad Norouzi 25 25 0 25 May 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 46 240 0 25 May 2018
Bandit-Based Monte Carlo Optimization for Nearest Neighbors Vivek Bagaria Tavor Z. Baharav G. Kamath David Tse 13 12 0 21 May 2018
Best arm identification in multi-armed bandits with delayed feedback Aditya Grover Todor Markov Patrick Attia Norman Jin Nicholas Perkins ... M. Chen Zi Yang Stephen J. Harris W. Chueh Stefano Ermon 24 74 0 29 Mar 2018
Best Arm Identification for Contaminated Bandits Jason M. Altschuler Victor-Emmanuel Brunel Alan Malek 14 45 0 26 Feb 2018
Hyperparameter Importance Across Datasets J. N. van Rijn Frank Hutter 11 239 0 12 Oct 2017
Toward Optimal Run Racing: Application to Deep Learning Calibration Olivier Bousquet Sylvain Gelly Karol Kurach Marc Schoenauer Michele Sebag O. Teytaud Damien Vincent 13 1 0 10 Jun 2017
Hyperparameter Optimization: A Spectral Approach Elad Hazan Adam R. Klivans Yang Yuan 27 118 0 02 Jun 2017
Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem Jie Zhong Yijun Huang Ji Liu 11 12 0 15 Apr 2017
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm Hiva Ghanbari K. Scheinberg TPM 11 26 0 20 Mar 2017
Reinforcement-based Simultaneous Algorithm and its Hyperparameters Selection V. Efimova Andrey Filchenkov A. Shalyto 10 2 0 07 Nov 2016
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems Pooyan Jamshidi G. Casale TPM 16 116 0 21 Jun 2016
Online Optimization of Smoothed Piecewise Constant Functions Vincent Cohen-Addad Varun Kanade 17 25 0 07 Apr 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin G. Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 38 2,292 0 21 Mar 2016
Train faster, generalize better: Stability of stochastic gradient descent Moritz Hardt Benjamin Recht Y. Singer 40 1,227 0 03 Sep 2015
Greedy methods, randomization approaches and multi-arm bandit algorithms for efficient sparsity-constrained optimization A. Rakotomamonjy Sokol Koço L. Ralaivola 18 2 0 26 Aug 2015