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Offline Model-Based Optimization by Learning to Rank

15 October 2024

Papers citing "Offline Model-Based Optimization by Learning to Rank"

45 / 45 papers shown

Title
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Rong-Xi Tan Ming Chen Ke Xue Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 9 0 0 08 Jun 2025
Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study Zeyuan Ma Zhiyang Huang Jiacheng Chen Zhiguang Cao Yue-Jiao Gong OffRL 112 3 0 23 Mar 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Ziqiang Liu Yoshua Bengio Can Chen OffRL 121 4 0 21 Mar 2025
LiPO: Listwise Preference Optimization through Learning-to-Rank Tianqi Liu Zhen Qin Junru Wu Jiaming Shen Misha Khalman ... Mohammad Saleh Simon Baumgartner Jialu Liu Peter J. Liu Xuanhui Wang 323 60 0 28 Jan 2025
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 138 5 0 03 Jan 2025
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 152 3 0 17 Oct 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization Taeyoung Yun Sujin Yun Jaewoo Lee Jinkyoo Park OffRL 118 7 0 29 Jun 2024
Offline Multi-Objective Optimization Ke Xue Rong-Xi Tan Xiaobin Huang Chao Qian OffRL 105 7 0 06 Jun 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space Peiyu Yu Dinghuai Zhang Hengzhi He Xiaojian Ma Ruiyao Miao ... Deqian Kong Ruiqi Gao Jianwen Xie Guang Cheng Ying Nian Wu 95 6 0 27 May 2024
Design Editing for Offline Model-based Optimization Ye Yuan Youyuan Zhang Can Chen Haolun Wu Zixuan Li Jianmo Li James J. Clark Xue Liu 119 5 0 22 May 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search Yassine Chemingui Aryan Deshwal Trong Nghia Hoang J. Doppa OffRL 107 14 0 08 May 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization J. Kuba Masatoshi Uehara Pieter Abbeel Sergey Levine AI4CE 108 6 0 08 Jan 2024
ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen Sudhanshu Agrawal Aditya Grover 107 17 0 30 Oct 2023
Large Language Model Alignment: A Survey Tianhao Shen Renren Jin Yufei Huang Chuang Liu Weilong Dong Zishan Guo Xinwei Wu Yan Liu Deyi Xiong LM&MA 103 205 0 26 Sep 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 130 72 0 25 Jul 2023
Preference Ranking Optimization for Human Alignment Feifan Song Yu Bowen Minghao Li Haiyang Yu Fei Huang Yongbin Li Houfeng Wang ALM 86 272 0 30 Jun 2023
Macro Placement by Wire-Mask-Guided Black-Box Optimization Yunqi Shi Ke Xue Lei Song Chaojun Qian 47 12 0 29 Jun 2023
Diffusion Models for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover DiffM 128 59 0 12 Jun 2023
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences Minsu Kim Federico Berto SungSoo Ahn Jinkyoo Park DD 77 20 0 05 Jun 2023
Data-Driven Offline Decision-Making via Invariant Representation Learning Qi Yi-Hsun Su Aviral Kumar Sergey Levine OffRL 91 22 0 21 Nov 2022
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 129 31 0 22 Jun 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone E. Delaney Peyton Greenside A. Wilson BDL 77 98 0 23 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 303 30,157 0 01 Mar 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization Brandon Trabucco Xinyang Geng Aviral Kumar Sergey Levine OffRL 95 102 0 17 Feb 2022
Decision-Focused Learning: Through the Lens of Learning to Rank Jayanta Mandi Víctor Bucarey Maxime Mulamba Ke Tchomba Tias Guns 85 48 0 07 Dec 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu SungSoo Ahn Le Song Jinwoo Shin OffRL 95 36 0 27 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 105 38 0 20 Oct 2021
Conservative Objective Models for Effective Offline Model-Based Optimization Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 88 94 0 14 Jul 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 95 49 0 08 Mar 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 119 49 0 16 Feb 2021
An Easy-to-use Real-world Multi-objective Optimization Problem Suite Ryoji Tanabe H. Ishibuchi 69 253 0 27 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 842 18,437 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 575 10,591 0 17 Feb 2020
Model Inversion Networks for Model-Based Optimization Aviral Kumar Sergey Levine OffRL 94 100 0 31 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 600 42,712 0 03 Dec 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots Michael Ahn Henry Zhu Kristian Hartikainen Hugo Ponte Abhishek Gupta Sergey Levine Vikash Kumar 79 130 0 25 Sep 2019
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance Marius Köppel A. Segner Martin Wagener Lukas Pensel Andreas Karwath Stefan Kramer 39 38 0 06 Sep 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 131 774 0 09 Mar 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 138 199 0 29 Jan 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 845 132,854 0 12 Jun 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 224 3,382 0 12 Jun 2017
The CMA Evolution Strategy: A Tutorial N. Hansen 80 1,379 0 04 Apr 2016
Generalization error bounds for learning to rank: Does the length of document lists matter? Ambuj Tewari Sougata Chaudhuri 76 15 0 06 Mar 2016
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 278 10,446 0 06 Nov 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 468 7,678 0 03 Jul 2012