Multi-Gradient Descent for Multi-Objective Recommender Systems

9 December 2019

Boi Faltings

Papers citing "Multi-Gradient Descent for Multi-Objective Recommender Systems"

20 / 20 papers shown

Title
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Lin Han Zhao Qingfu Zhang James T. Kwok 80 4 0 19 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 47 2 0 12 Jan 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks Minh-Duc Nguyen Phuong Mai Dinh Quang-Huy Nguyen L. P. Hoang Dung D. Le 51 1 0 23 Dec 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 68 1 0 21 Oct 2024
Panoptic Perception for Autonomous Driving: A Survey Yunge Li Lanyu Xu 46 2 0 27 Aug 2024
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems Timo Wilm Philipp Normann Felix Stepprath 28 2 0 23 Jul 2024
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models Mingjia Huo Sai Ashish Somayajula Youwei Liang Ruisi Zhang F. Koushanfar Pengtao Xie WaLM 33 15 0 28 Feb 2024
PMGDA: A Preference-based Multiple Gradient Descent Algorithm Xiao-Yan Zhang Xi Lin Qingfu Zhang 32 7 0 14 Feb 2024
Improving Pareto Front Learning via Multi-Sample Hypernetworks L. P. Hoang Dung D. Le Tuan A. Tran Thang Tran Ngoc 24 24 0 02 Dec 2022
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer Madhureeta Das Xianhao Chen Xiaoyong Yuan Lan Zhang 11 2 0 21 Jul 2022
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints Soumyajit Gupta Gurpreet Singh Raghu Bollapragada Matthew Lease 30 4 0 28 Oct 2021
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning Dusan Stamenkovic Alexandros Karatzoglou Ioannis Arapakis Xin Xin Kleomenis Katevas 26 46 0 28 Oct 2021
Multi-task problems are not multi-objective Michael Ruchte Josif Grabocka 41 4 0 14 Oct 2021
Self-Evolutionary Optimization for Pareto Front Learning Simyung Chang Kiyoon Yoo Jiho Jang Nojun Kwak 44 3 0 07 Oct 2021
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic Weicong Ding Hanlin Tang Jingshuo Feng Lei Yuan Sen Yang ... Dongying Kong Kai Ren Peng Jiang Qiao Lian Ji Liu 44 1 0 20 Aug 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 49 47 0 14 Feb 2021
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context Milena Filipovic B. Mitrevski Diego Antognini Emma Lejal Glaude Boi Faltings C. Musat OffRL 32 10 0 19 Sep 2020
Momentum-based Gradient Methods in Multi-Objective Recommendation B. Mitrevski Milena Filipovic Diego Antognini Emma Lejal Glaude Boi Faltings C. Musat 9 8 0 10 Sep 2020
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm Kirtan Padh Diego Antognini Emma Lejal Glaude Boi Faltings C. Musat FaML 21 30 0 09 Sep 2020