Antti Koskela
8 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
Conferences
AISTATS (3)
ICML (2)
NIPS (2)
ICLR (1)
Top co-authors
Research topics
Keywords
differential privacy
(6)
fast fourier transform
(2)
gaussian mechanism
(2)
privacy accounting
(2)
stochastic gradient descent
(2)
privacy-preserving learning
(1)
posterior inference
(1)
linear regression
(1)
learning rate adaptation
(1)
hyperparameter tuning
(1)
exponential mechanism
(1)
generalized linear model
(1)
privacy-utility trade-off
(1)
objective perturbation
(1)
rényi differential privacy
(1)
moments accountant
(1)
privacy loss distribution
(1)
private machine learning
(1)
dp stochastic gradient descent
(1)
convex optimization
(1)
Papers
Privacy Profiles for Private Selection
ICML 2024
Practical Differentially Private Hyperparameter Tuning with Subsampling
NIPS 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
NIPS 2023
Individual Privacy Accounting with Gaussian Differential Privacy
ICLR 2023
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
AISTATS 2021
Differentially Private Bayesian Inference for Generalized Linear Models
ICML 2021
Learning Rate Adaptation for Differentially Private Learning
AISTATS 2020
Computing Tight Differential Privacy Guarantees Using FFT
AISTATS 2020