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Initializing Services in Interactive ML Systems for Diverse Users

19 December 2023

Papers citing "Initializing Services in Interactive ML Systems for Diverse Users"

23 / 23 papers shown

Title
LoRe: Personalizing LLMs via Low-Rank Reward Modeling Avinandan Bose Zhihan Xiong Yuejie Chi Simon S. Du Lin Xiao Maryam Fazel 84 2 0 20 Apr 2025
Policy Design for Two-sided Platforms with Participation Dynamics Haruka Kiyohara Fan Yao Sarah Dean 181 2 0 03 Feb 2025
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning S. Poddar Yanming Wan Hamish Ivison Abhishek Gupta Natasha Jaques 86 50 0 19 Aug 2024
Offline Multi-task Transfer RL with Representational Penalization Avinandan Bose S. S. Du Maryam Fazel OffRL 99 12 0 19 Feb 2024
One for All: Simultaneous Metric and Preference Learning over Multiple Users Gregory H. Canal Blake Mason Ramya Korlakai Vinayak R. Nowak FedML 48 11 0 07 Jul 2022
Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback Adhyyan Narang Omid Sadeghi Lillian J. Ratliff Maryam Fazel J. Bilmes OffRL 61 1 0 07 Jul 2022
Emergent specialization from participation dynamics and multi-learner retraining Sarah Dean Mihaela Curmei Lillian J. Ratliff Jamie Morgenstern Maryam Fazel 101 6 0 06 Jun 2022
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees Avinandan Bose Arunesh Sinha Tien Mai 40 5 0 31 May 2022
Towards Sample-efficient Overparameterized Meta-learning Yue Sun Adhyyan Narang Halil Ibrahim Gulluk Samet Oymak Maryam Fazel BDL 60 25 0 16 Jan 2022
Retiring Adult: New Datasets for Fair Machine Learning Frances Ding Moritz Hardt John Miller Ludwig Schmidt 229 463 0 10 Aug 2021
How Fine-Tuning Allows for Effective Meta-Learning Kurtland Chua Qi Lei Jason D. Lee 89 50 0 05 May 2021
Improved Guarantees for k-means++ and k-means++ Parallel K. Makarychev Aravind Reddy Liren Shan DRL 78 24 0 27 Oct 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 89 870 0 07 Jun 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 138 579 0 25 Feb 2020
Meta-learning for mixed linear regression Weihao Kong Raghav Somani Zhao Song Sham Kakade Sewoong Oh 80 67 0 20 Feb 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 167 1,011 0 04 Oct 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 140 4,555 0 21 Aug 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness Xueru Zhang Mohammadmahdi Khaliligarekani Cem Tekin M. Liu FaML 82 60 0 02 May 2019
Eigenvalue and Generalized Eigenvalue Problems: Tutorial Benyamin Ghojogh Fakhri Karray Mark Crowley 87 124 0 25 Mar 2019
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 121 585 0 20 Jun 2018
Learning User Preferences to Incentivize Exploration in the Sharing Economy Christoph Hirnschall Adish Singla Sebastian Tschiatschek Andreas Krause 52 8 0 17 Nov 2017
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction Jacob Steinhardt Gregory Valiant Moses Charikar 71 173 0 16 Jun 2016
Generalized Principal Component Analysis (GPCA) René Vidal Yi-An Ma S. Shankar Sastry 113 1,160 0 17 Feb 2012