RoMA: Robust Model Adaptation for Offline Model-based Optimization

27 October 2021

Papers citing "RoMA: Robust Model Adaptation for Offline Model-based Optimization"

23 / 23 papers shown

Title
Preference-Guided Diffusion for Multi-Objective Offline Optimization Yashas Annadani Syrine Belakaria Stefano Ermon Stefan Bauer Barbara Engelhardt 42 0 0 21 Mar 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Z. Liu Yoshua Bengio Can Chen OffRL 57 2 0 21 Mar 2025
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 33 5 0 03 Jan 2025
Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan Ke Xue Shen-Huan Lyu Haopu Shang Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 78 2 0 15 Oct 2024
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading Melanie Rieff Fabian Holzberger Oksana Lapina Geir Ringstad Lars Magnus Valnes Bogna Warsza Kent-Andre Mardal Per Kristian Eide Barbara Wohlmuth 29 3 0 06 Oct 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization Taeyoung Yun Sujin Yun Jaewoo Lee Jinkyoo Park OffRL 34 5 0 29 Jun 2024
Offline Multi-Objective Optimization Ke Xue Rong-Xi Tan Xiaobin Huang Chao Qian OffRL 36 5 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 40 5 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 29 4 0 22 May 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong Yuanqi Du Wenhao Mu Kirill Neklyudov Valentin De Bortol ... D. Wu Aaron Ferber Yi-An Ma Carla P. Gomes Chao Zhang 19 10 0 28 Feb 2024
ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen Sudhanshu Agrawal Aditya Grover 13 14 0 30 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 17 2 0 16 Oct 2023
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation Ruiyuan Kang Tingting Mu P. Liatsis D. Kyritsis 9 2 0 25 Sep 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization Jinxin Liu Hongyin Zhang Zifeng Zhuang Yachen Kang Donglin Wang Bin Wang OffRL 23 8 0 26 Jun 2023
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences Minsu Kim Federico Berto Sungsoo Ahn Jinkyoo Park DD 17 18 0 05 Jun 2023
EEE, Remediating the failure of machine learning models via a network-based optimization patch Ruiyuan Kang D. Kyritsis P. Liatsis 13 0 0 22 Apr 2023
Data-Driven Offline Decision-Making via Invariant Representation Learning Qi Yi-Hsun Su Aviral Kumar Sergey Levine OffRL 17 19 0 21 Nov 2022
Exploring validation metrics for offline model-based optimisation with diffusion models Christopher Beckham Alexandre Piché David Vazquez Christopher Pal OffRL 8 0 0 19 Nov 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 76 35 0 24 Jul 2022
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 22 25 0 22 Jun 2022
Global Optimization Networks Sen Zhao Erez Louidor Ilan Oleksandr Mangylov Maya R. Gupta 10 5 0 02 Feb 2022
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 62 46 0 16 Feb 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016