Räisä, Ossi

10 publications

AISTATS 2025 A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Räisä, Antti Honkela

JMLR 2025 On Consistent Bayesian Inference from Synthetic Data Ossi Räisä, Joonas Jälkö, Antti Honkela

ICML 2025 Position: All Current Generative Fidelity and Diversity Metrics Are Flawed Ossi Räisä, Boris Van Breugel, Mihaela Van Der Schaar

NeurIPS 2024 Noise-Aware Differentially Private Regression via Meta-Learning Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner

ICLRW 2024 Subsampling Is Not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation Ossi Räisä, Joonas Jälkö, Antti Honkela

ICML 2024 Subsampling Is Not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation Ossi Räisä, Joonas Jälkö, Antti Honkela

AISTATS 2023 Noise-Aware Statistical Inference with Differentially Private Synthetic Data Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela

NeurIPSW 2023 On Consistent Bayesian Inference from Synthetic Data Ossi Räisä, Joonas Jälkö, Antti Honkela

NeurIPSW 2022 Noise-Aware Statistical Inference with Differentially Private Synthetic Data Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela

NeurIPSW 2021 Differentially Private Hamiltonian Monte Carlo Ossi Räisä, Antti Koskela, Antti Honkela