Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization

21 June 2024

Papers citing "Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization"

29 / 29 papers shown

Title
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks Ji Won Park Natavsa Tagasovska Michael R. Maser Stephen Ra Kyunghyun Cho 141 7 0 01 Jun 2023
Protein Design with Guided Discrete Diffusion Nate Gruver Samuel Stanton Nathan C. Frey Tim G. J. Rudner I. Hotzel J. Lafrance-Vanasse A. Rajpal Kyunghyun Cho A. Wilson DiffM 69 115 0 31 May 2023
Towards Understanding and Improving GFlowNet Training Max W. Shen Emmanuel Bengio Ehsan Hajiramezanali Andreas Loukas Kyunghyun Cho Tommaso Biancalani 38 54 0 11 May 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets Yiheng Zhu Jialun Wu Chaowen Hu Jiahuan Yan Chang-Yu Hsieh Tingjun Hou Jian Wu 68 35 0 08 Feb 2023
Multi-Objective GFlowNets Moksh Jain Sharath Chandra Raparthy Alex Hernandez-Garcia Jarrid Rector-Brooks Yoshua Bengio Santiago Miret Emmanuel Bengio 65 91 0 23 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 72 59 0 16 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 67 39 0 06 Oct 2022
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement Kaifeng Yang Guozhi Dong M. Affenzeller 36 7 0 07 Aug 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 53 96 0 23 Mar 2022
GFlowNet Foundations Yoshua Bengio Salem Lahlou T. Deleu J. E. Hu Mo Tiwari Emmanuel Bengio 41 230 0 17 Nov 2021
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization Santiago Miret Vui Seng Chua Mattias Marder Mariano Phielipp Nilesh Jain Somdeb Majumdar 25 8 0 14 Jun 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement Sam Daulton Maximilian Balandat E. Bakshy 40 155 0 17 May 2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 Ryan Turner David Eriksson M. McCourt J. Kiili Eero Laaksonen Zhen Xu Isabelle M Guyon BDL 52 298 0 20 Apr 2021
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining Austin Tripp Erik A. Daxberger José Miguel Hernández-Lobato MedIm 56 139 0 16 Jun 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 44 241 0 09 Jun 2020
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 74 254 0 21 Aug 2019
Deep Reinforcement Learning for Multi-objective Optimization Kaiwen Li Tao Zhang Rui Wang AI4CE 59 272 0 06 Jun 2019
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 112 1,207 0 22 Mar 2018
The Uncertainty Bellman Equation and Exploration Brendan O'Donoghue Ian Osband Rémi Munos Volodymyr Mnih 63 191 0 15 Sep 2017
A Fixed-Point of View on Gradient Methods for Big Data A. Jung 46 27 0 29 Jun 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 400 2,462 0 10 Mar 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 143 1,487 0 29 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 445 5,369 0 05 Nov 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 147 2,927 0 07 Oct 2016
Parallel Bayesian Global Optimization of Expensive Functions Jialei Wang Scott C. Clark Eric Liu P. Frazier 46 161 0 16 Feb 2016
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 70 355 0 29 May 2015
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets Adarsh Prasad Stefanie Jegelka Dhruv Batra 52 68 0 06 Nov 2014
Lazier Than Lazy Greedy Baharan Mirzasoleiman Ashwinkumar Badanidiyuru Amin Karbasi J. Vondrák Andreas Krause 87 406 0 28 Sep 2014
A Survey of Multi-Objective Sequential Decision-Making D. Roijers Peter Vamplew Shimon Whiteson Richard Dazeley 77 653 0 04 Feb 2014