Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

21 December 2009

Papers citing "Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design"

50 / 617 papers shown

Title
AutoCP: Automated Pipelines for Accurate Prediction Intervals Yao Zhang W. Zame M. Schaar 11 0 0 24 Jun 2020
Simple and Scalable Parallelized Bayesian Optimization Masahiro Nomura 24 1 0 24 Jun 2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games N. Vadori Sumitra Ganesh P. Reddy Manuela Veloso 22 15 0 23 Jun 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 38 117 0 22 Jun 2020
Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification A. Blanchard T. Sapsis 21 4 0 22 Jun 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 23 91 0 22 Jun 2020
Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks Wei Chen Kevin N. Chiu M. Fuge 17 82 0 21 Jun 2020
Bayesian Optimization with Missing Inputs P. Luong Dang Nguyen Sunil R. Gupta Santu Rana Svetha Venkatesh 29 3 0 19 Jun 2020
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift Masahiro Nomura Yuta Saito 14 9 0 18 Jun 2020
Likelihood-Free Inference with Deep Gaussian Processes Alexander Aushev Henri Pesonen Markus Heinonen J. Corander Samuel Kaski GP 26 10 0 18 Jun 2020
Optimistic Distributionally Robust Policy Optimization Jun Song Chaoyue Zhao 20 12 0 14 Jun 2020
Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners Mohammadi Zaki Avinash Mohan Aditya Gopalan 18 9 0 13 Jun 2020
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels Binxin Ru Xingchen Wan Xiaowen Dong Michael A. Osborne 17 21 0 13 Jun 2020
Uncertainty quantification using martingales for misspecified Gaussian processes Willie Neiswanger Aaditya Ramdas UQCV 14 14 0 12 Jun 2020
On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning A. Kusne Heshan Yu Changming Wu Huairuo Zhang J. Hattrick-Simpers ... Ritesh Agarwal L. Bendersky Mo Li Apurva Mehta Ichiro Takeuchi 16 7 0 11 Jun 2020
OpEvo: An Evolutionary Method for Tensor Operator Optimization Xiaotian Gao C. Wei Lintao Zhang Mao Yang 19 3 0 10 Jun 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 27 84 0 09 Jun 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 36 104 0 08 Jun 2020
Visual Prediction of Priors for Articulated Object Interaction Caris Moses Michael Noseworthy L. Kaelbling Tomás Lozano-Pérez Nicholas Roy 8 6 0 06 Jun 2020
Combinatorial Black-Box Optimization with Expert Advice Hamid Dadkhahi Karthikeyan Shanmugam Jesus Rios Payel Das Samuel C. Hoffman T. Loeffler S. Sankaranarayanan 33 16 0 06 Jun 2020
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers Gilhyun Ryou E. Tal S. Karaman 19 41 0 03 Jun 2020
Submodular Bandit Problem Under Multiple Constraints S. Takemori Masahiro Sato Takashi Sonoda Janmajay Singh Tomoko Ohkuma 15 15 0 01 Jun 2020
Causal Bayesian Optimization Virginia Aglietti Xiaoyu Lu Andrei Paleyes Javier Gonz' alez CML 17 49 0 24 May 2020
Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization Amit Chandak Debojyoti Dey B. Mukhoty Purushottam Kar OffRL 9 12 0 22 May 2020
Global Optimization of Gaussian processes Artur M. Schweidtmann D. Bongartz D. Grothe Tim Kerkenhoff Xiaopeng Lin J. Najman Alexander Mitsos 12 40 0 21 May 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 23 6 0 20 May 2020
Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes Lai Wei Xiaobo Tan Vaibhav Srivastava 11 7 0 18 May 2020
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design R. Priem N. Bartoli Y. Diouane A. Sgueglia 14 46 0 11 May 2020
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS S. Shekhar T. Javidi 10 20 0 11 May 2020
Sequential Gallery for Interactive Visual Design Optimization Yuki Koyama Issei Sato Masataka Goto 30 76 0 08 May 2020
Human Strategic Steering Improves Performance of Interactive Optimization Fabio Colella Pedram Daee Jussi P. P. Jokinen Antti Oulasvirta Samuel Kaski LLMSV 6 9 0 04 May 2020
Localized active learning of Gaussian process state space models A. Capone Jonas Umlauft Thomas Beckers Armin Lederer Sandra Hirche 21 27 0 04 May 2020
What do you Mean? The Role of the Mean Function in Bayesian Optimisation George De Ath J. Fieldsend Richard Everson 27 16 0 17 Apr 2020
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension A. Maharana Joey Tianyi Zhou AAML 20 13 0 13 Apr 2020
Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health M. Menictas Sabina Tomkins Susan Murphy OffRL 20 0 0 28 Mar 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search Chen Wei Chuang Niu Yiping Tang Yue Wang Haihong Hu Jimin Liang 30 7 0 28 Mar 2020
Incorporating Expert Prior in Bayesian Optimisation via Space Warping Anil Ramachandran Sunil R. Gupta Santu Rana Cheng Li Svetha Venkatesh 20 36 0 27 Mar 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 54 106 0 26 Mar 2020
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding Amrit Singh Bedi Dheeraj Peddireddy Vaneet Aggarwal Brian M. Sadler Alec Koppel 8 1 0 23 Mar 2020
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing Michael Kapralov Navid Nouri Ilya P. Razenshteyn A. Velingker A. Zandieh 24 13 0 21 Mar 2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture Anh Tran J. Furlan T. Wildey S. McCann K. Pagalthivarthi R. Visintainer 33 9 0 20 Mar 2020
Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation Xiong Lyu M. Ludkovski 38 4 0 19 Mar 2020
Self-Supervised Contextual Bandits in Computer Vision A. Deshmukh Abhimanu Kumar Levi Boyles Denis Xavier Charles Eren Manavoglu Ürün Dogan SSL 31 3 0 18 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 21 522 0 12 Mar 2020
Modelling Human Active Search in Optimizing Black-box Functions Antonio Candelieri R. Perego I. Giordani Andrea Ponti Francesco Archetti 6 9 0 09 Mar 2020
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization Antonio Candelieri I. Giordani R. Perego Francesco Archetti 6 0 0 09 Mar 2020
On Hyper-parameter Tuning for Stochastic Optimization Algorithms Haotian Zhang Jianyong Sun Zongben Xu 14 0 0 04 Mar 2020
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns Alessandro Nuara F. Trovò N. Gatti Marcello Restelli 31 29 0 03 Mar 2020
Efficient Rollout Strategies for Bayesian Optimization E. Lee David Eriksson Bolong Cheng M. McCourt D. Bindel 21 24 0 24 Feb 2020
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data Sabina Tomkins Peng Liao P. Klasnja Serena Yeung Susan Murphy 44 6 0 23 Feb 2020