OCD-FL: A Novel Communication-Efficient Peer Selection-based Decentralized Federated Learningby Nizar Masmoudi, Wael JaafarFirst submitted to…
Verified Training for Counterfactual Explanation Robustness under Data Shiftby Anna P. Meyer, Yuhao Zhang, Aws…
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricingby Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, Lars…
Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approachby Honglin Wen, Pierre Pinson,…
Online model error correction with neural networks: application to the Integrated Forecasting Systemby Alban Farchi,…
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Provingby Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder,…
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Designby Yingrui Ji, Yao Zhu,…
Learning Constrained Optimization with Deep Augmented Lagrangian Methodsby James Kotary, Ferdinando FiorettoFirst submitted to arxiv…
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applicationsby Minyang Hu, Hong Chang, Zong…
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyondby Dingzhi Yu, Yunuo Cai, Wei…