Conservative Objective Models for Effective Offline Model-Based Optimization

14 July 2021

Papers citing "Conservative Objective Models for Effective Offline Model-Based Optimization"

50 / 54 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 Ziqiang Liu Yoshua Bengio Can Chen OffRL 67 2 0 21 Mar 2025
Overconfident Oracles: Limitations of In Silico Sequence Design Benchmarking Shikha Surana Nathan Grinsztajn Timothy Atkinson Paul Duckworth Thomas D. Barrett 37 2 0 24 Feb 2025
Robust Guided Diffusion for Offline Black-Box Optimization Can Chen Christopher Beckham Xue Liu Xue Liu OffRL 46 5 0 03 Jan 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 132 0 0 31 Dec 2024
Offline Stochastic Optimization of Black-Box Objective Functions Juncheng Dong Zihao Wu Hamid Jafarkhani Ali Pezeshki Vahid Tarokh OffRL 64 0 0 03 Dec 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 59 2 0 17 Oct 2024
Sharpness-Aware Black-Box Optimization Feiyang Ye Yueming Lyu Xuehao Wang Masashi Sugiyama Yu-Jie Zhang Ivor W. Tsang AAML 42 0 0 16 Oct 2024
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 81 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 38 0 0 06 Oct 2024
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 33 0 0 10 Sep 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization Taeyoung Yun Sujin Yun Jaewoo Lee Jinkyoo Park OffRL 52 5 0 29 Jun 2024
Offline Multi-Objective Optimization Ke Xue Rong-Xi Tan Xiaobin Huang Chao Qian OffRL 51 5 0 06 Jun 2024
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models Masatoshi Uehara Yulai Zhao Ehsan Hajiramezanali Gabriele Scalia Gökçen Eraslan Avantika Lal Sergey Levine Tommaso Biancalani 50 13 0 30 May 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 48 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 37 4 0 22 May 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search Yassine Chemingui Aryan Deshwal Trong Nghia Hoang J. Doppa OffRL 45 9 0 08 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 27 10 0 28 Feb 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization J. Kuba Masatoshi Uehara Pieter Abbeel Sergey Levine AI4CE 21 4 0 08 Jan 2024
From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization Qiang Zhang Ruida Zhou Yang Shen Tie Liu OffRL 41 1 0 04 Jan 2024
When is Offline Policy Selection Sample Efficient for Reinforcement Learning? Vincent Liu P. Nagarajan Andrew Patterson Martha White OffRL 26 2 0 04 Dec 2023
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design Yannick Vogt Mehdi Naouar M. Kalweit Christoph Cornelius Miething Justus Duyster Roland Mertelsmann Gabriel Kalweit Joschka Boedecker OffRL OnRL 29 0 0 29 Nov 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design Tung Nguyen Sudhanshu Agrawal Aditya Grover 19 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 42 2 0 16 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
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation Ruiyuan Kang Tingting Mu P. Liatsis D. Kyritsis 31 2 0 25 Sep 2023
Improving Protein Optimization with Smoothed Fitness Landscapes Andrew Kirjner Jason Yim Raman Samusevich Shahar Bracha Tommi Jaakkola Regina Barzilay Ila Fiete 13 16 0 02 Jul 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 42 8 0 26 Jun 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching H. Suh Glen Chou Hongkai Dai Lujie Yang Abhishek Gupta Russ Tedrake DiffM OffRL 37 7 0 24 Jun 2023
Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual Bandits Lequn Wang A. Krishnamurthy Aleksandrs Slivkins OffRL 33 8 0 13 Jun 2023
Diffusion Models for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover DiffM 26 51 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 27 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 28 0 0 22 Apr 2023
Conservative objective models are a special kind of contrastive divergence-based energy model Christopher Beckham C. Pal 35 4 0 07 Apr 2023
Conflict-Averse Gradient Optimization of Ensembles for Effective Offline Model-Based Optimization Sathvik Kolli 29 1 0 31 Mar 2023
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC Patrick Emami Aidan Perreault Jeffrey N. Law David J. Biagioni Peter C. St. John 23 13 0 20 Dec 2022
Data-Driven Offline Decision-Making via Invariant Representation Learning Qi Yi-Hsun Su Aviral Kumar Sergey Levine OffRL 27 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 22 1 0 19 Nov 2022
Improving Generative Flow Networks with Path Regularization A. Do Duy-Tung Dinh T. Nguyen Khuong N. Nguyen Stanley Osher Nhat Ho AI4CE 23 4 0 29 Sep 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 29 29 0 13 Jul 2022
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 47 26 0 22 Jun 2022
A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems Cheng Feng OffRL AI4CE 17 0 0 15 May 2022
Generative Evolutionary Strategy For Black-Box Optimizations C. Park 11 0 0 06 May 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits Jiahao Yao Haoya Li Marin Bukov Lin Lin Lexing Ying 16 15 0 30 Mar 2022
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems Rafael Figueiredo Prudencio Marcos R. O. A. Máximo Esther Luna Colombini OffRL 18 221 0 02 Mar 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization Brandon Trabucco Xinyang Geng Aviral Kumar Sergey Levine OffRL 24 95 0 17 Feb 2022
Global Optimization Networks Sen Zhao Erez Louidor Ilan Oleksandr Mangylov Maya R. Gupta 20 5 0 02 Feb 2022
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding Yulun Zhang Matthew C. Fontaine Amy K. Hoover Stefanos Nikolaidis 76 32 0 07 Dec 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 27 36 0 20 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 273 0 28 Sep 2021