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Bayesian Optimization with Gradients

13 March 2017

Papers citing "Bayesian Optimization with Gradients"

42 / 92 papers shown

Title
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures A. Marco Alexander von Rohr Dominik Baumann José Miguel Hernández-Lobato Sebastian Trimpe 45 7 0 15 May 2020
Sherpa: Robust Hyperparameter Optimization for Machine Learning L. Hertel Julian Collado Peter Sadowski J. Ott Pierre Baldi 125 106 0 08 May 2020
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives Emmanouil Angelis Philippe Wenk Bernhard Schölkopf Stefan Bauer Andreas Krause BDL 70 3 0 05 Mar 2020
Information Directed Sampling for Linear Partial Monitoring Johannes Kirschner Tor Lattimore Andreas Krause 92 46 0 25 Feb 2020
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling Setareh Ariafar Zelda E. Mariet Ehsan Elhamifar Dana Brooks Jennifer Dy Jasper Snoek 50 3 0 23 Feb 2020
Static and Dynamic Values of Computation in MCTS Eren Sezener Peter Dayan 76 5 0 11 Feb 2020
Uncertainty Quantification for Bayesian Optimization Rui Tuo Wei Cao UQCV 55 5 0 04 Feb 2020
Gradient-based Optimization for Bayesian Preference Elicitation Ivan Vendrov Tyler Lu Qingqing Huang Craig Boutilier BDL 55 23 0 20 Nov 2019
Bayesian Optimization Allowing for Common Random Numbers Michael Pearce Matthias Poloczek Juergen Branke BDL 53 23 0 21 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 76 3 0 21 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 66 93 0 14 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 100 474 0 03 Oct 2019
Deep kernel learning for integral measurements Carl Jidling J. Hendriks Thomas B. Schon A. Wills 62 7 0 04 Sep 2019
A tree-based radial basis function method for noisy parallel surrogate optimization Chenchao Shou Matthew West 60 2 0 21 Aug 2019
BISTRO: Berkeley Integrated System for Transportation Optimization Sidney A. Feygin Jessica R. Lazarus E. Forscher Valentine Golfier-Vetterli Jonathan W. Lee Abhishek Gupta Rashid A. Waraich C. Sheppard Alexandre M. Bayen 35 8 0 10 Aug 2019
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model Dongjun Kim Tae-Sub Yun Il-Chul Moon 13 3 0 09 Aug 2019
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization David Eriksson D. Bindel C. Shoemaker 75 56 0 30 Jul 2019
Accelerating Experimental Design by Incorporating Experimenter Hunches Cheng Li Santu Rana Sunil R. Gupta Vu Nguyen Svetha Venkatesh ... David Rubín de Celis Leal Teo Slezak Murray Height M. Mohammed I. Gibson 75 33 0 22 Jul 2019
Learning Effective Loss Functions Efficiently Matthew J. Streeter 46 8 0 28 Jun 2019
Knowledge Gradient for Selection with Covariates: Consistency and Computation Liang Ding L. Hong Haihui Shen Xiaowei Zhang BDL 100 27 0 12 Jun 2019
Graduated Optimization of Black-Box Functions Weijia Shao C. Geißler F. Sivrikaya 56 2 0 04 Jun 2019
Learning Personalized Thermal Preferences via Bayesian Active Learning with Unimodality Constraints Nimish Awalgaonkar Ilias Bilionis Xiaoqi Liu P. Karava Athanasios Tzempelikos AI4TS AI4CE 55 2 0 21 Mar 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning Jian Wu Saul Toscano-Palmerin P. Frazier A. Wilson 67 132 0 12 Mar 2019
Active learning for enumerating local minima based on Gaussian process derivatives Yu Inatsu Daisuke Sugita K. Toyoura Ichiro Takeuchi 48 6 0 08 Mar 2019
Low-pass filtering as Bayesian inference Cristobal Valenzuela Felipe A. Tobar AI4TS 34 2 0 09 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 46 30 0 03 Feb 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product Changyong Oh Jakub M. Tomczak E. Gavves Max Welling 95 108 0 01 Feb 2019
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language Willie Neiswanger Kirthevasan Kandasamy Barnabás Póczós J. Schneider Eric Xing 94 18 0 31 Jan 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 100 10 0 18 Dec 2018
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO Daning Cheng Hanping Zhang Xia Fen Shigang Li Yunquan Zhang 22 0 0 08 Nov 2018
Computing the Value of Computation for Planning Can Eren Sezener 19 0 0 07 Nov 2018
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 51 11 0 04 Nov 2018
Scaling Gaussian Process Regression with Derivatives David Eriksson Kun Dong E. Lee D. Bindel A. Wilson GP 60 76 0 29 Oct 2018
Combining Bayesian Optimization and Lipschitz Optimization Mohamed Osama Ahmed Sharan Vaswani Mark Schmidt 61 22 0 10 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 118 1,803 0 08 Jul 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 153 250 0 25 May 2018
Neural Generative Models for Global Optimization with Gradients Louis Faury Flavian Vasile Clément Calauzènes Olivier Fercoq 16 2 0 22 May 2018
Improving Quadrature for Constrained Integrands Henry Chai Roman Garnett TPM 79 27 0 13 Feb 2018
Discretization-free Knowledge Gradient Methods for Bayesian Optimization Jian Wu P. Frazier BDL 51 9 0 20 Jul 2017
Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations E. Siivola Aki Vehtari J. Vanhatalo Javier I. González Michael Riis Andersen 61 26 0 04 Apr 2017
Exploiting gradients and Hessians in Bayesian optimization and Bayesian quadrature Anqi Wu Mikio C. Aoi Jonathan W. Pillow 73 41 0 31 Mar 2017
Multi-Information Source Optimization Matthias Poloczek Jialei Wang P. Frazier 104 198 0 01 Mar 2016