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Joonas Jälkö
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2020 – today
- 2024
- [j3]Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski:
Collaborative learning from distributed data with differentially private synthetic data. BMC Medical Informatics Decis. Mak. 24(1): 167 (2024) - [c8]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. ICDAR (6) 2024: 199-218 - [c7]Ossi Räisä, Joonas Jälkö, Antti Honkela:
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation. ICML 2024 - [i13]Ossi Räisä, Joonas Jälkö, Antti Honkela:
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation. CoRR abs/2402.03990 (2024) - [i12]Marlon Tobaben, Gauri Pradhan, Yuan He, Joonas Jälkö, Antti Honkela:
Understanding Practical Membership Privacy of Deep Learning. CoRR abs/2402.06674 (2024) - 2023
- [j2]Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski:
DPVIm: Differentially Private Variational Inference Improved. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela:
Noise-Aware Statistical Inference with Differentially Private Synthetic Data. AISTATS 2023: 3620-3643 - [i11]Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski:
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data. CoRR abs/2308.04755 (2023) - 2022
- [i10]Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela:
Noise-Aware Statistical Inference with Differentially Private Synthetic Data. CoRR abs/2205.14485 (2022) - [i9]Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski:
DPVIm: Differentially Private Variational Inference Improved. CoRR abs/2210.15961 (2022) - 2021
- [j1]Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski:
Privacy-preserving data sharing via probabilistic modeling. Patterns 2(7): 100271 (2021) - [c5]Antti Koskela, Joonas Jälkö, Lukas Prediger, Antti Honkela:
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT. AISTATS 2021: 3358-3366 - [c4]Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. ICML 2021: 5838-5849 - [i8]Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela:
Locally Differentially Private Bayesian Inference. CoRR abs/2110.14426 (2021) - 2020
- [c3]Antti Koskela, Joonas Jälkö, Antti Honkela:
Computing Tight Differential Privacy Guarantees Using FFT. AISTATS 2020: 2560-2569 - [i7]Antti Koskela, Joonas Jälkö, Lukas Prediger, Antti Honkela:
Tight Approximate Differential Privacy for Discrete-Valued Mechanisms Using FFT. CoRR abs/2006.07134 (2020) - [i6]Razane Tajeddine, Joonas Jälkö, Samuel Kaski, Antti Honkela:
Privacy-preserving Data Sharing on Vertically Partitioned Data. CoRR abs/2010.09293 (2020) - [i5]Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. CoRR abs/2011.00467 (2020)
2010 – 2019
- 2019
- [c2]Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela:
Differentially Private Markov Chain Monte Carlo. NeurIPS 2019: 4115-4125 - [i4]Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela:
Differentially Private Markov Chain Monte Carlo. CoRR abs/1901.10275 (2019) - [i3]Antti Koskela, Joonas Jälkö, Antti Honkela:
Computing Exact Guarantees for Differential Privacy. CoRR abs/1906.03049 (2019) - [i2]Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Samuel Kaski, Antti Honkela:
Privacy-preserving data sharing via probabilistic modelling. CoRR abs/1912.04439 (2019) - 2017
- [c1]Joonas Jälkö, Antti Honkela, Onur Dikmen:
Differentially Private Variational Inference for Non-conjugate Models. UAI 2017 - 2016
- [i1]Joonas Jälkö, Onur Dikmen, Antti Honkela:
Differentially Private Variational Inference for Non-conjugate Models. CoRR abs/1610.08749 (2016)
Coauthor Index
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last updated on 2024-10-08 21:27 CEST by the dblp team
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