Offline Model-Based Optimization: Comprehensive Review

Offline Model-Based Optimization: Comprehensive Review

21 March 2025

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Papers citing "Offline Model-Based Optimization: Comprehensive Review"

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Title
Uncertainty-Aware Dual-Ranking Strategy for Offline Data-Driven Multi-Objective Optimization Huanbo Lyu Daniel Herring Shiqiao Zhou M. M. Li Zheming Zuo Jelena Ninic James Andrews Fabian Spill Shuo Wang OffRL 60 0 0 09 Nov 2025
Diffusion Alignment as Variational Expectation-Maximization Jaewoo Lee Minsu Kim S. Choi Inhyuck Song Sujin Yun Hyeongyu Kang Woocheol Shin Taeyoung Yun Kiyoung Om Jinkyoo Park 75 0 0 01 Oct 2025
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge Manh Cuong Dao Hung Tran Phi Le Nguyen Thao Nguyen Truong Trong Nghia Hoang OffRL 158 0 0 19 Sep 2025
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 187 3 0 08 Jun 2025
Latent Bayesian Optimization via Autoregressive Normalizing FlowsInternational Conference on Learning Representations (ICLR), 2025 Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 265 10 0 21 Apr 2025
Preference-Guided Diffusion for Multi-Objective Offline Optimization Yashas Annadani Syrine Belakaria Stefano Ermon Stefan Bauer Barbara Engelhardt 161 5 0 21 Mar 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 375 5 0 24 Feb 2025
Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? Yoshua Bengio Michael K. Cohen Damiano Fornasiere J. Ghosn Pietro Greiner ... Jesse Richardson Oliver E. Richardson Marc-Antoine Rondeau P. St-Charles David Williams-King 264 46 0 21 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning DeepSeek-AI Daya Guo Dejian Yang Haowei Zhang Junxiao Song ... Shiyu Wang S. Yu Shunfeng Zhou Shuting Pan S.S. Li ReLM VLM OffRL AI4TS LRM 1.2K 5,266 0 22 Jan 2025
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 363 8 0 03 Jan 2025
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 443 4 0 17 Oct 2024
Offline Model-Based Optimization by Learning to RankInternational Conference on Learning Representations (ICLR), 2024 Rong-Xi Tan Ke Xue Shen-Huan Lyu Haopu Shang Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 453 7 0 15 Oct 2024
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux gradingNMR in Biomedicine (NMR Biomed), 2024 Melanie Rieff Fabian Holzberger Oksana Lapina Geir Ringstad Lars Magnus Valnes Bogna Warsza Kent-Andre Mardal Per Kristian Eide Barbara Wohlmuth 380 9 0 06 Oct 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 356 51 0 31 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 445 7 0 22 May 2024
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 747 514 0 17 Jun 2020