Tapani Raiko
9 papers · 2007–2016 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (9) π Cross-Pollinator (8) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(22)
π§
Keyword Pioneer
π±
Topic Pioneer
π§¬
Topic Evolution
π
Trend Setter
Conferences
NIPS (4)
JMLR (3)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
variational inference
(3)
unsupervised learning
(3)
generative model
(3)
variational bayesian learning
(2)
ladder network
(2)
probabilistic modeling
(1)
neural network training
(1)
stochastic gradient
(1)
probabilistic inference
(1)
density estimation
(1)
hyperparameter optimization
(1)
gradient-based optimization
(1)
deep learning
(1)
natural gradient
(1)
semi-supervised learning
(1)
linear transformation
(1)
fisher information matrix
(1)
gradient descent
(1)
time series
(1)
principal component analysis
(1)
Papers
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
ICML 2016
Ladder Variational Autoencoders
NIPS 2016
Semi-supervised Learning with Ladder Networks
NIPS 2015
Bidirectional Recurrent Neural Networks as Generative Models
NIPS 2015
Iterative Neural Autoregressive Distribution Estimator NADE-k
NIPS 2014
Deep Learning Made Easier by Linear Transformations in Perceptrons
AISTATS 2012
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
JMLR 2010
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
JMLR 2010
Building Blocks for Variational Bayesian Learning of Latent Variable Models
JMLR 2007