The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiencyby…
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theoryby Aymane El Firdoussi, Mohamed…
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisalby Weijia Zhang, Jindong Han,…
Losing dimensions: Geometric memorization in generative diffusionby Beatrice Achilli, Enrico Ventura, Gianluigi Silvestri, Bao Pham,…
Gradients Stand-in for Defending Deep Leakage in Federated Learningby H. Yi, H. Ren, C. Hu,…
Zero-Shot Offline Imitation Learning via Optimal Transportby Thomas Rupf, Marco Bagatella, Nico Gürtler, Jonas Frey,…
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysisby Zhifei Li, Gerrit Großmann, Verena WolfFirst…
Unlocking FedNL: Self-Contained Compute-Optimized Implementationby Konstantin Burlachenko, Peter RichtárikFirst submitted to arxiv on: 11 Oct…
Causal machine learning for predicting treatment outcomesby Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal,…
Efficient Differentiable Discovery of Causal Orderby Mathieu Chevalley, Arash Mehrjou, Patrick SchwabFirst submitted to arxiv…