Scalable Bayesian Optimization Using Deep Neural Networks

19 February 2015

Md. Mostofa Ali Patwary

Papers citing "Scalable Bayesian Optimization Using Deep Neural Networks"

50 / 132 papers shown

Title
Online Calibrated and Conformal Prediction Improves Bayesian Optimization Shachi Deshpande Charles Marx Volodymyr Kuleshov 13 7 0 08 Dec 2021
Differentiable Projection for Constrained Deep Learning Dou Huang Haoran Zhang Xuan Song Ryosuke Shibasaki 20 2 0 21 Nov 2021
Merging Models with Fisher-Weighted Averaging Michael Matena Colin Raffel FedML MoMe 27 348 0 18 Nov 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu Sungsoo Ahn Le Song Jinwoo Shin OffRL 16 31 0 27 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 25 36 0 20 Oct 2021
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation Ross M. Clarke E. T. Oldewage José Miguel Hernández-Lobato 13 9 0 20 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 14 0 0 15 Oct 2021
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation Aythami Morales Julian Fierrez A. Acien Ruben Tolosana Ignacio Serna 21 20 0 02 Sep 2021
Sparse Bayesian Deep Learning for Dynamic System Identification Hongpeng Zhou Chahine Ibrahim W. Zheng Wei Pan BDL 13 25 0 27 Jul 2021
Conservative Objective Models for Effective Offline Model-Based Optimization Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 25 86 0 14 Jul 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 33 288 0 28 Jun 2021
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data Kourosh Hakhamaneshi Pieter Abbeel Vladimir M. Stojanović Aditya Grover 17 10 0 02 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 29 124 0 14 May 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 63 17 0 23 Apr 2021
Fast Design Space Exploration of Nonlinear Systems: Part I S. Narain Emily Mak Dana Chee Brendan Englot K. Pochiraju N. Jha Karthik Narayan 17 5 0 05 Apr 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty Chao Qu Wenxin Liu Camillo J. Taylor UQCV BDL 17 31 0 29 Mar 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 22 24 0 14 Feb 2021
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks Marcello Serqueira Israel Mendonça Eduardo Bezerra 6 19 0 22 Nov 2020
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians Juhan Bae Roger C. Grosse 16 24 0 26 Oct 2020
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems Zhe Chen Yuyan Wang Dong Lin D. Cheng Lichan Hong Ed H. Chi Claire Cui 28 16 0 17 Aug 2020
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations Dalin Guo S. Ktena Ferenc Huszár Pranay K. Myana Wenzhe Shi Alykhan Tejani OffRL 17 39 0 03 Aug 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 22 7 0 11 Jul 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 22 203 0 24 Jun 2020
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks Sujay Thakur Cooper Lorsung Yaniv Yacoby Finale Doshi-Velez Weiwei Pan BDL UQCV 25 4 0 21 Jun 2020
Likelihood-Free Inference with Deep Gaussian Processes Alexander Aushev Henri Pesonen Markus Heinonen J. Corander Samuel Kaski GP 20 10 0 18 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 30 99 0 12 Jun 2020
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation Jackie Baek Vivek F. Farias 22 9 0 11 Jun 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 11 83 0 09 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 19 30 0 08 Jun 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 43 104 0 26 Mar 2020
ENTMOOT: A Framework for Optimization over Ensemble Tree Models Alexander Thebelt Jan Kronqvist Miten Mistry Robert M. Lee Nathan Sudermann-Merx Ruth Misener 21 54 0 10 Mar 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 25 277 0 24 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 16 482 0 12 Feb 2020
Debugging Machine Learning Pipelines Raoni Lourenço J. Freire D. Shasha AI4CE 8 28 0 11 Feb 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization Lukas P. Frohlich Edgar D. Klenske Julia Vinogradska Christian Daniel M. Zeilinger 40 36 0 07 Feb 2020
Model Inversion Networks for Model-Based Optimization Aviral Kumar Sergey Levine OffRL 22 93 0 31 Dec 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White W. Neiswanger Yash Savani BDL 26 313 0 25 Oct 2019
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning D. Smyl Dong Liu 16 34 0 21 Oct 2019
Sketch-Specific Data Augmentation for Freehand Sketch Recognition Ying Zheng H. Yao Xiaoshuai Sun Shengping Zhang Sicheng Zhao Fatih Porikli 22 15 0 14 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce J. Gardner Ryan D. Turner Matthias Poloczek 16 447 0 03 Oct 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search Yixing Xu Yunhe Wang Avishkar Bhoopchand Christopher Mattern A. Grabska-Barwinska Chunjing Xu Chang Xu 20 81 0 30 Sep 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning Valerio Perrone Huibin Shen Matthias Seeger Cédric Archambeau Rodolphe Jenatton 17 96 0 27 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,418 0 02 Aug 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 16 50 0 02 Jul 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 15 65 0 27 Jun 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 25 128 0 17 Apr 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine D. Duvenaud Roger C. Grosse 23 164 0 07 Mar 2019
Robust Grasp Planning Over Uncertain Shape Completions Jens Lundell Francesco Verdoja Ville Kyrki 3DPC 17 57 0 02 Mar 2019
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting Artur Bekasov Iain Murray AAML BDL 12 14 0 29 Nov 2018
Practical Design Space Exploration Luigi Nardi D. Koeplinger K. Olukotun 8 86 0 11 Oct 2018