Ossi Räisä
6 papers · 2023–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(6)
Application Areas
(4)
Artificial Intelligence
(3)
Security & Privacy
(3)
Differential Privacy
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types
(1)
Keywords
differential privacy
(4)
synthetic data
(3)
uncertainty estimation
(2)
bayesian inference
(2)
synthetic data generation
(1)
bayesian modeling
(1)
gaussian process
(1)
mean squared error
(1)
posterior predictive
(1)
generative model
(1)
confidence interval
(1)
gradient variance
(1)
convolutional conditional neural process
(1)
well-calibrated prediction
(1)
functional mechanism
(1)
simulated data
(1)
batch size
(1)
multiple imputation
(1)
bias-variance decomposition
(1)
diversity metric
(1)
Papers
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
AISTATS 2025
On Consistent Bayesian Inference from Synthetic Data
JMLR 2025
Position: All Current Generative Fidelity and Diversity Metrics are Flawed
ICML 2025
Noise-Aware Differentially Private Regression via Meta-Learning
NeurIPS 2024
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
ICML 2024
Noise-Aware Statistical Inference with Differentially Private Synthetic Data
AISTATS 2023