Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation…
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learningby Luca Palazzo, Matteo Pennisi, Federica Proietto…
Towards a Fairer Non-negative Matrix Factorizationby Lara Kassab, Erin George, Deanna Needell, Haowen Geng, Nika…
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurementsby Shijie Zhou, Huaisheng Zhu,…
KULCQ: An Unsupervised Keyword-based Utterance Level Clustering Quality Metricby Pranav Guruprasad, Negar Mokhberian, Nikhil Varghese,…
Fair Secretaries with Unfair Predictionsby Eric Balkanski, Will Ma, Andreas MaggioriFirst submitted to arxiv on:…
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemmaby Xiaoxuan…
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitationby Yihong Guo, Yixuan Wang, Yuanyuan…
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subsetby…
Statistical Analysis of Policy Space Compression Problemby Majid Molaei, Marcello Restelli, Alberto Maria Metelli, Matteo…