Joonas Jälkö
8 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(15)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(7)
Optimization & Theory
(6)
Artificial Intelligence
(3)
Security & Privacy
(3)
Differential Privacy
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Data Science & Analytics
(1)
Core AI
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Keywords
differential privacy
(7)
bayesian inference
(4)
gaussian mechanism
(2)
fast fourier transform
(2)
synthetic data
(2)
posterior inference
(2)
privacy accounting
(2)
markov chain monte carlo
(1)
bayesian modeling
(1)
posterior approximation
(1)
exponential mechanism
(1)
posterior predictive
(1)
generalized linear model
(1)
confidence interval
(1)
uncertainty estimation
(1)
gradient variance
(1)
batch size
(1)
multiple imputation
(1)
rényi divergence
(1)
privacy loss distribution
(1)
Papers
Noise-Aware Differentially Private Variational Inference
AISTATS 2025
On Consistent Bayesian Inference from Synthetic Data
JMLR 2025
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
Differentially Private Bayesian Inference for Generalized Linear Models
ICML 2021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
AISTATS 2021
Computing Tight Differential Privacy Guarantees Using FFT
AISTATS 2020
Differentially Private Markov Chain Monte Carlo
NeurIPS 2019