Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Kusmierczyk, Tomasz"'
Function-space priors in Bayesian Neural Networks provide a more intuitive approach to embedding beliefs directly into the model's output, thereby enhancing regularization, uncertainty quantification, and risk-aware decision-making. However, imposing
Externí odkaz:
http://arxiv.org/abs/2410.15777
Autor:
Borycki, Piotr, Kubacki, Piotr, Przewięźlikowski, Marcin, Kuśmierczyk, Tomasz, Tabor, Jacek, Spurek, Przemysław
The main goal of Few-Shot learning algorithms is to enable learning from small amounts of data. One of the most popular and elegant Few-Shot learning approaches is Model-Agnostic Meta-Learning (MAML). The main idea behind this method is to learn the
Externí odkaz:
http://arxiv.org/abs/2210.02796
Autor:
Kuśmierczyk, Tomasz, Klami, Arto
Variational approximations are increasingly based on gradient-based optimization of expectations estimated by sampling. Handling discrete latent variables is then challenging because the sampling process is not differentiable. Continuous relaxations,
Externí odkaz:
http://arxiv.org/abs/2006.15568
Publikováno v:
Journal of Machine Learning Research 24 (2023) 1-51
The behavior of many Bayesian models used in machine learning critically depends on the choice of prior distributions, controlled by some hyperparameters that are typically selected by Bayesian optimization or cross-validation. This requires repeated
Externí odkaz:
http://arxiv.org/abs/1910.12263
Bayesian models quantify uncertainty and facilitate optimal decision-making in downstream applications. For most models, however, practitioners are forced to use approximate inference techniques that lead to sub-optimal decisions due to incorrect pos
Externí odkaz:
http://arxiv.org/abs/1909.04919
Bayesian decision theory outlines a rigorous framework for making optimal decisions based on maximizing expected utility over a model posterior. However, practitioners often do not have access to the full posterior and resort to approximate inference
Externí odkaz:
http://arxiv.org/abs/1902.00792
Autor:
Kusmierczyk, Tomasz, Nørvåg, Kjetil
Badges are a common, and sometimes the only, method of incentivizing users to perform certain actions on online sites. However, due to many competing factors influencing user temporal dynamics, it is difficult to determine whether the badge had (or w
Externí odkaz:
http://arxiv.org/abs/1710.01716
A wide variety of online platforms use digital badges to encourage users to take certain types of desirable actions. However, despite their growing popularity, their causal effect on users' behavior is not well understood. This is partly due to the l
Externí odkaz:
http://arxiv.org/abs/1707.08160
Publikováno v:
In Information Processing and Management May 2019 56(3):654-673
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