Samuel Kaski
Samuel Kaski
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Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Simulation-based inference (SBI) methods such as approximate Bayesian computation (ABC), synthetic likelihood, and neural posterior …
Daolang Huang
,
Ayush Bharti
,
Amauri Souza
,
Luigi Acerbi
,
Samuel Kaski
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Characterizing personalized effects of family information on disease risk using graph representation learning
Family history is considered a risk factor for many diseases because it implicitly captures shared genetic, environmental and lifestyle …
Sophie Wharrie
,
Zhiyu Yang
,
Andrea Ganna
,
Samuel Kaski
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Compositional Sculpting of Iterative Generative Processes
We propose a framework to compose iterative generative processes: GFlowNets and diffusion models.
Timur Garipov
,
Sebastiaan De Peuter
,
Ge Yang
,
Vikas Garg
,
Samuel Kaski
,
Tommi Jaakkola
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Noise-Aware Statistical Inference with Differentially Private Synthetic Data
While generation of synthetic data under differential privacy (DP) has received a lot of attention in the data privacy community, …
Ossi Räisä
,
Joonas Jälkö
,
Samuel Kaski
,
Antti Honkela
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Differentiable user models
Probabilistic user modeling is essential for building machine learning systems in the ubiquitous cases with humans in the loop. …
Alex Hämäläinen
,
Mustafa Mert Çelikok
,
Samuel Kaski
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Zero-shot assistance in sequential decision problems
We consider the problem of creating assistants that can help agents solve new sequential decision problems, assuming the agent is not …
Sebastiaan De Peuter
,
Samuel Kaski
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DOI
Parallel MCMC Without Embarrassing Failures
Embarrassingly parallel Markov Chain Monte Carlo (MCMC) exploits parallel computing to scale Bayesian inference to large datasets by …
Daniel A. De Souza
,
Diego Mesquita
,
Samuel Kaski
,
Luigi Acerbi
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Tackling covariate shift with node-based Bayesian neural networks
Bayesian neural networks (BNNs) promise improved generalization under covariate shift by providing principled probabilistic …
Trung Q Trinh
,
Markus Heinonen
,
Luigi Acerbi
,
Samuel Kaski
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Estimating treatment effects from single-arm trials via latent-variable modeling
Randomized controlled trials (RCTs) are the accepted standard for treatment effect estimation but they can be infeasible due to ethical …
Manuel Haussmann
,
Tran Minh Son Le
,
Viivi Halla-Aho
,
Samu Kurki
,
Jussi Leinonen
,
Miika Koskinen
,
Samuel Kaski
,
Harri Lähdesmäki
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DOI
A new way to do controlled experiments in medicine: simulate the control
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