Jun
12
9:00 AM09:00
Zhirong Yang: Learning Data Representation by Large-Scale Neighbor Embedding
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Filtering by: Spring 2017
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Jun
5
9:00 AM09:00
Jarno Vanhatalo: Statistical Ecology with Gaussian Processes
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May
29
9:00 AM09:00
Jaakko Lehtinen: Graphics Meets Vision Meets Machine Learning
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May
22
9:00 AM09:00
Aki Vehtari: On Priors and Bayesian Variable Selection in Large p, Small n Regression
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May
15
9:00 AM09:00
Juho Kannala: Machine Learning for Image-Based Localization
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May
8
9:00 AM09:00
Dorota Glowacka: Empirical Parameterization of Exploratory Search Systems Based on Bandit Algorithms
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Apr
24
9:00 AM09:00
Aino Tietäväinen: Nintendo Wii Fit-Based Balance Testing to Detect Sleep Deprivation - Approximate Bayesian Computation Approach
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Apr
10
9:00 AM09:00
Markus Heinonen: Learning With Spectral Kernels
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Apr
3
9:00 AM09:00
Mar
27
9:00 AM09:00
Hiroshi Mamitsuka: Learning to Rank - Applications to Bioinformatics
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Mar
20
9:00 AM09:00
Harri Valpola: Future AI - Autonomous machine learning and beyond
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Mar
13
9:00 AM09:00
Tapio Pahikkala: Small Data AUC Estimation of Machine Learning Methods - Pitfalls and Remedies
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Mar
6
9:00 AM09:00
Antti Honkela: Differentially Private Bayesian Learning
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Feb
27
9:00 AM09:00
Antti Oulasvirta: Inverse Modeling in Behavioral Sciences and HCI
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Feb
20
9:00 AM09:00
Alexander Jung: Compressed Sensing for Semi-Supervised Learning From Big Data Over Networks
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Feb
13
9:00 AM09:00
Matti Pirinen: Variable Selection From Summary Statistics
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Feb
6
9:00 AM09:00
Petri Myllymäki: Towards Perfect Density Estimation
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Jan
30
9:00 AM09:00
Jukka Corander: Likelihood-free Inference and Predictions for Computational Epidemiology
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Jan
23
9:00 AM09:00
Juho Rousu: Metabolite Identification Through Machine Learning
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Jan
16
9:00 AM09:00
Arto Klami: Probabilistic Programming - Bayesian Modeling Made Easy
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Jan
9
9:00 AM09:00
Erkki Oja: Unsupervised Machine Learning for Matrix Decomposition
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