ML Anthology

Simeone, Osvaldo

9 publications

ICML 2025 Adaptive Learn-Then-Test: Statistically Valid and Efficient Hyperparameter Selection Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
NeurIPS 2025 Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees Sangwoo Park, Matteo Zecchin, Osvaldo Simeone
ICML 2025 Distributed Conformal Prediction via Message Passing Haifeng Wen, Hong Xing, Osvaldo Simeone
NeurIPS 2025 Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh, Osvaldo Simeone
AISTATS 2025 Personalizing Low-Rank Bayesian Neural Networks via Federated Learning Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu
NeurIPS 2024 Localized Adaptive Risk Control Matteo Zecchin, Osvaldo Simeone
AISTATS 2022 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-Learning Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
NeurIPSW 2022 Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone
NeurIPS 2021 Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang