Preference-Optimized Pareto Set Learning for Blackbox Optimization

19 August 2024

Zhang Haishan

Papers citing "Preference-Optimized Pareto Set Learning for Blackbox Optimization"

22 / 22 papers shown

Title
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 208 1 0 21 Oct 2024
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 62 25 0 18 Oct 2022
User-Interactive Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 71 11 0 21 May 2022
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 59 59 0 24 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 174 233 0 23 Mar 2021
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 179 258 0 15 Oct 2020
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 94 74 0 13 Oct 2020
Learning the Pareto Front with Hypernetworks Aviv Navon Aviv Shamsian Gal Chechik Ethan Fetaya 101 145 0 08 Oct 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 59 102 0 14 Aug 2020
pymoo: Multi-objective Optimization in Python Julian Blank Kalyanmoy Deb 63 1,242 0 22 Jan 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 76 349 0 30 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 92 1,020 0 22 Dec 2019
Learning Convex Optimization Control Policies Akshay Agrawal Shane T. Barratt Stephen P. Boyd Bartolomeo Stellato 59 68 0 19 Dec 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 65 54 0 27 Sep 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 74 254 0 21 Aug 2019
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning Suyun Liu Luis Nunes Vicente 107 74 0 10 Jul 2019
The Limited Multi-Label Projection Layer Brandon Amos V. Koltun J. Zico Kolter 56 36 0 20 Jun 2019
Dynamic Weights in Multi-Objective Deep Reinforcement Learning Axel Abels D. Roijers Tom Lenaerts A. Nowé Denis Steckelmacher OffRL 54 162 0 20 Sep 2018
A Tutorial on Bayesian Optimization P. Frazier GP 104 1,782 0 08 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 99 2,004 0 14 Jun 2016
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 131 2,446 0 12 Dec 2010