Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Joint Alignment of Multivariate Quasi-Periodic Functional Data Using Deep Learning Vi Thanh Pham Jonas Bille Nielsen K. F. Kofoed J. T. Kühl Andreas Kryger Jensen 13 0 0 14 Nov 2023
Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization Farhan N. Damani David H. Brookes Theodore Sternlieb Cameron Webster Stephen Malina Rishi Jajoo Kathy Lin Sam Sinai OffRL 35 3 0 09 Nov 2023
An Initialization Schema for Neuronal Networks on Tabular Data Wolfgang Fuhl 21 0 0 07 Nov 2023
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models Santiago Marin Bronwyn Loong A. Westveld 21 0 0 07 Nov 2023
Bayesian Optimization of Function Networks with Partial Evaluations Poompol Buathong Jiayue Wan Raul Astudillo Sam Daulton Maximilian Balandat P. Frazier 34 2 0 03 Nov 2023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation Jay Sarva Jingkang Wang James Tu Yuwen Xiong S. Manivasagam R. Urtasun 57 8 0 02 Nov 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space Seunghun Lee Jaewon Chu S. Kim Juyeon Ko Hyunwoo J. Kim BDL 49 6 0 31 Oct 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs Lin Yang Junlong Lyu Wenlong Lyu Zhitang Chen 23 2 0 31 Oct 2023
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices Minghao Yan Hongyi Wang Shivaram Venkataraman 23 0 0 30 Oct 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen Sudhanshu Agrawal Aditya Grover 27 15 0 30 Oct 2023
Metric Flows with Neural Networks James Halverson Fabian Ruehle 14 8 0 30 Oct 2023
Intrinsic Gaussian Vector Fields on Manifolds Daniel Robert-Nicoud Andreas Krause Viacheslav Borovitskiy 29 5 0 28 Oct 2023
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition Yige Xu Zhiwei Zeng Zhiqi Shen VLM 33 3 0 23 Oct 2023
Optimizing Retrieval-augmented Reader Models via Token Elimination Moshe Berchansky Peter Izsak Avi Caciularu Ido Dagan Moshe Wasserblat RALM 50 12 0 20 Oct 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 34 3 0 19 Oct 2023
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle Xu Yang Xiao Yang Weiqing Liu Jinhui Li Peng Yu Zeqi Ye Jiang Bian 37 1 0 17 Oct 2023
Understanding an Acquisition Function Family for Bayesian Optimization Jiajie Kong Tony Pourmohamad Herbert K. H. Lee 19 0 0 16 Oct 2023
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction Han Qi Xinyang Geng Stefano Rando Iku Ohama Aviral Kumar Sergey Levine DiffM 42 2 0 16 Oct 2023
Relation-aware Ensemble Learning for Knowledge Graph Embedding Ling Yue Yongqi Zhang Quanming Yao Yong Li Xian Wu Ziheng Zhang Zhenxi Lin Yefeng Zheng 38 4 0 13 Oct 2023
CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction Ryan Yen Jiawen Zhu Sangho Suh Haijun Xia Jian Zhao 46 14 0 12 Oct 2023
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning Zeyuan Ma Hongshu Guo Jiacheng Chen Zhenrui Li Guojun Peng Yue-jiao Gong Yining Ma Zhiguang Cao OffRL 35 26 0 12 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
Serving Deep Learning Model in Relational Databases Alexandre Eichenberger Qi Lin Saif Masood Hong Min Alexander Sim ... Yida Wang Kesheng Wu Binhang Yuan Lixi Zhou Jia Zou 29 0 0 07 Oct 2023
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels Alexander Shmakov Avisek Naug Vineet Gundecha Sahand Ghorbanpour Ricardo Luna Gutierrez Ashwin Ramesh Babu Antonio Guillen-Perez Soumyendu Sarkar 37 11 0 05 Oct 2023
ProGO: Probabilistic Global Optimizer Xinyu Zhang Sujit Ghosh 23 1 0 04 Oct 2023
Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 37 0 0 02 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 29 0 0 01 Oct 2023
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning Athanasios Bacharis Konstantinos D. Polyzos H. J. Nelson G. Giannakis Nikolaos Papanikolopoulos 33 1 0 29 Sep 2023
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym E. Raponi Nathanaël Carraz Rakotonirina Jérémy Rapin Carola Doerr O. Teytaud 37 5 0 29 Sep 2023
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces Maria-Irina Nicolae Max Eisele Zehao Wang 35 8 0 28 Sep 2023
Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation V. Buchner Lele Cao Jan-Christoph Kalo Vilhelm von Ehrenheim VLM 42 1 0 21 Sep 2023
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes M. Noack Hengrui Luo M. Risser GP 32 11 0 18 Sep 2023
Learning Covariances for Estimation with Constrained Bilevel Optimization Mohamad Qadri Zachary Manchester Michael Kaess 32 4 0 18 Sep 2023
Rethinking Learning Rate Tuning in the Era of Large Language Models Hongpeng Jin Wenqi Wei Xuyu Wang Wenbin Zhang Yanzhao Wu 18 11 0 16 Sep 2023
Landscape-Sketch-Step: An AI/ML-Based Metaheuristic for Surrogate Optimization Problems Rafael Monteiro K. Sau 29 1 0 14 Sep 2023
A supervised generative optimization approach for tabular data S. Nakamura-Sakai Fadi Hamad Saheed O. Obitayo Vamsi K. Potluru 21 2 0 10 Sep 2023
Towards General and Efficient Online Tuning for Spark Yang Li Huaijun Jiang Yu Shen Yide Fang Xiaofeng Yang ... Xinyi Zhang Wentao Zhang Ce Zhang Peng Chen Bin Cui 29 12 0 05 Sep 2023
Polynomial-Model-Based Optimization for Blackbox Objectives Janina Schreiber D. Wicaksono Michael Hecht 8 0 0 01 Sep 2023
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions Jan Simson Florian Pfisterer Christoph Kern 27 12 0 31 Aug 2023
CDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement Hossein Shakibania Sina Raoufi H. Khotanlou 35 6 0 24 Aug 2023
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing D. Humeniuk Foutse Khomh G. Antoniol 33 4 0 24 Aug 2023
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design Ziqiao Ao Jinglai Li 30 2 0 19 Aug 2023
Constrained Bayesian Optimization Using a Lagrange Multiplier Applied to Power Transistor Design Ping-Ju Chuang A. Saadat Sara Ghazvini H. Edwards W. Vandenberghe 8 1 0 18 Aug 2023
Recognizing Intent in Collaborative Manipulation Zhanibek Rysbek K. Oh Milos Zefran 14 4 0 17 Aug 2023
FedPop: Federated Population-based Hyperparameter Tuning Haokun Chen Denis Krompass Jindong Gu Volker Tresp FedML 38 0 0 16 Aug 2023
Robust Bayesian Satisficing Artun Saday Yacsar Cahit Yildirim Cem Tekin 80 2 0 16 Aug 2023
Control-aware echo state networks (Ca-ESN) for the suppression of extreme events A. Racca Luca Magri 11 2 0 06 Aug 2023
Synthesizing Programmatic Policies with Actor-Critic Algorithms and ReLU Networks S. Orfanos Levi H. S. Lelis 24 6 0 04 Aug 2023
Efficient Model Adaptation for Continual Learning at the Edge Z. Daniels Jun Hu M. Lomnitz P.E.T.E.R.G. Miller Aswin Raghavan Joe Zhang M. Piacentino David C. Zhang OOD 27 2 0 03 Aug 2023
Incorporating Season and Solar Specificity into Renderings made by a NeRF Architecture using Satellite Images Michael Gableman A. Kak 30 8 0 02 Aug 2023