Scalable Bayesian Optimization Using Deep Neural Networks

19 February 2015

Md. Mostofa Ali Patwary

Papers citing "Scalable Bayesian Optimization Using Deep Neural Networks"

50 / 190 papers shown

Title
Circinus: Efficient Query Planner for Compound ML Serving Banruo Liu Wei-Yu Lin Minghao Fang Yihan Jiang Fan Lai LRM 39 0 0 23 Apr 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization Timur Carstensen Neeratyoy Mallik Frank Hutter Martin Rapp AI4CE 32 0 0 14 Apr 2025
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks Josua Faller Jörg Martin BDL 75 0 0 04 Feb 2025
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 46 0 0 28 Jan 2025
A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization Tongyu Wu Changhao Miao Yuntian Zhang Chen Chen Chen Chen 38 0 0 13 Jan 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 191 0 0 31 Dec 2024
Respecting the limit:Bayesian optimization with a bound on the optimal value Hanyang Wang Juergen Branke Matthias Poloczek 45 0 0 07 Nov 2024
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan M. Hushchyn D. Derkach 36 0 0 16 Jul 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models Hersh Sanghvi Spencer Folk Camillo J Taylor 47 3 0 25 Jun 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 69 1 0 07 Jun 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 40 0 0 27 May 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 83 7 0 12 Feb 2024
On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions Mike Diessner Kevin J. Wilson Richard D. Whalley 24 0 0 05 Feb 2024
Review: Quantum Architecture Search with Unsupervised Representation Learning Yize Sun Zixin Wu Yunpu Ma Volker Tresp 38 7 0 21 Jan 2024
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction Han Qi Xinyang Geng Stefano Rando Iku Ohama Aviral Kumar Sergey Levine DiffM 48 2 0 16 Oct 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 32 2 0 15 Oct 2023
ROMO: Retrieval-enhanced Offline Model-based Optimization Mingcheng Chen Haoran Zhao Yuxiang Zhao Hulei Fan Hongqiao Gao Yong Yu Zheng Tian OffRL 18 1 0 11 Oct 2023
Asynchronous Evolution of Deep Neural Network Architectures J. Liang H. Shahrzad Risto Miikkulainen 28 0 0 08 Aug 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 30 19 0 12 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 25 4 0 03 Jul 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 42 15 0 06 Jun 2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models Alexander Lin Bahareh Tolooshams Yves Atchadé Demba E. Ba 36 1 0 05 Jun 2023
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization Navid Ansari Hans-Peter Seidel Vahid Babaei 24 2 0 01 Jun 2023
Deep Pipeline Embeddings for AutoML Sebastian Pineda Arango Josif Grabocka 36 2 0 23 May 2023
Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi Sebastian Pineda Arango Josif Grabocka BDL 39 7 0 27 Mar 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning Adam X. Yang Laurence Aitchison Henry B. Moss 29 4 0 22 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 Feb 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 28 9 0 11 Jan 2023
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework Abdulaziz Ahmed Khalid Y. Aram S. Tutun 24 0 0 22 Dec 2022
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems Ethan Goan Clinton Fookes UQCV 31 4 0 20 Dec 2022
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems Huong Ha 19 0 0 16 Dec 2022
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks Olga Graf P. Flores P. Protopapas K. Pichara PINN 39 6 0 14 Dec 2022
Global Optimization with Parametric Function Approximation Chong Liu Yu-Xiang Wang 36 7 0 16 Nov 2022
A mixed-categorical correlation kernel for Gaussian process P. Saves Y. Diouane N. Bartoli T. Lefebvre J. Morlier GP 29 18 0 15 Nov 2022
Do Bayesian Neural Networks Need To Be Fully Stochastic? Mrinank Sharma Sebastian Farquhar Eric T. Nalisnick Tom Rainforth BDL 23 52 0 11 Nov 2022
Atlas: Automate Online Service Configuration in Network Slicing Qiang Liu Nakjung Choi Tao Han 15 7 0 30 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 27 38 0 06 Oct 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies Willie Neiswanger Lantao Yu Shengjia Zhao Chenlin Meng Stefano Ermon UQCV 45 11 0 04 Oct 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 42 7 0 22 Sep 2022
Optimistic Optimization of Gaussian Process Samples Julia Grosse Cheng Zhang Philipp Hennig GP 16 0 0 02 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 80 24 0 01 Sep 2022
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI) Alexander E. Siemenn Zekun Ren Qianxiao Li Tonio Buonassisi 46 23 0 26 Aug 2022
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 52 4 0 26 Aug 2022
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge Daolang Huang Louis Filstroff P. Mikkola Runkai Zheng Samuel Kaski 29 5 0 18 Aug 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 24 3 0 04 Aug 2022
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs Emilia Magnani Nicholas Kramer Runa Eschenhagen Lorenzo Rosasco Philipp Hennig UQCV BDL 21 9 0 02 Aug 2022
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems S. Pourtakdoust Amir H. Khodabakhsh 36 12 0 05 Jul 2022
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States Francesco Faccio Aditya A. Ramesh Vincent Herrmann J. Harb Jürgen Schmidhuber OffRL 44 8 0 04 Jul 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu Willie Neiswanger Stefano Ermon 38 23 0 27 Jun 2022