Ossi Räisä

13 papers A* 2A 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets.
AISTATS
Ossi Räisä, Antti Honkela
2025 J jnl
Accuracy-First Rényi Differential Privacy and Post-Processing Immunity.
CoRR
Ossi Räisä, Antti Koskela, Antti Honkela
2025 J jnl
On Consistent Bayesian Inference from Synthetic Data.
J. Mach. Learn. Res.
Ossi Räisä, Joonas Jälkö, Antti Honkela
2025 — conf
Position: All Current Generative Fidelity and Diversity Metrics are Flawed.
ICML (Position Papers)
Ossi Räisä, Boris van Breugel, Mihaela van der Schaar
2025 J jnl
Position: All Current Generative Fidelity and Diversity Metrics are Flawed.
CoRR
Ossi Räisä, Boris van Breugel, Mihaela van der Schaar
2024 J jnl
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets.
CoRR
Ossi Räisä, Antti Honkela
2024 A* conf
Noise-Aware Differentially Private Regression via Meta-Learning.
NeurIPS
Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
2024 J jnl
Noise-Aware Differentially Private Regression via Meta-Learning.
CoRR
Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
2024 A* conf
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation.
ICML
Ossi Räisä, Joonas Jälkö, Antti Honkela
2024 J jnl
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation.
CoRR
Ossi Räisä, Joonas Jälkö, Antti Honkela
2023 A conf
Noise-Aware Statistical Inference with Differentially Private Synthetic Data.
AISTATS
Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
2022 J jnl
Noise-Aware Statistical Inference with Differentially Private Synthetic Data.
CoRR
Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
2021 J jnl
Differentially Private Hamiltonian Monte Carlo.
CoRR
Ossi Räisä, Antti Koskela, Antti Honkela