Improving Socratic Question Generation using Data Augmentation and Preference Optimizationby Nischal Ashok Kumar, Andrew LanFirst…
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learningby Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai…
Shifted Interpolation for Differential Privacyby Jinho Bok, Weijie Su, Jason M. AltschulerFirst submitted to arxiv…
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimizationby Ganga Gireesan, Nisha Pillai, Michael J Rothrock, Bindu…
Privacy-Preserving Distributed Optimization and Learningby Ziqin Chen, Yongqiang WangFirst submitted to arxiv on: 29 Feb…
A Scalable and Transferable Time Series Prediction Framework for Demand Forecastingby Young-Jin Park, Donghyun Kim,…
Differentially Private Worst-group Risk Minimizationby Xinyu Zhou, Raef BassilyFirst submitted to arxiv on: 29 Feb…
Smooth Tchebycheff Scalarization for Multi-Objective Optimizationby Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun…
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustnessby Matteo Gambella, Fabrizio Pittorino, Manuel…
Trained Random Forests Completely Reveal your Datasetby Julien Ferry, Ricardo Fukasawa, Timothée Pascal, Thibaut VidalFirst…