Tapani Raiko
9 papers · 2007–2016 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
🌱
Topic Pioneer
🧬
Topic Evolution
🧭
Keyword Pioneer
🏆
Keyword Champion
(2)
📈
Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Optimization & Theory · Machine Learning
(6)
Architectures
(5)
Models
(5)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Bayesian & Probabilistic
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Analysis
(1)
Core Methods
(1)
Learning Paradigms
(1)
Techniques
(1)
Keywords
variational inference
(3)
unsupervised learning
(3)
generative model
(3)
ladder network
(2)
variational bayesian learning
(2)
probabilistic modeling
(1)
neural network training
(1)
stochastic gradient
(1)
density estimation
(1)
bayesian inference
(1)
probabilistic inference
(1)
hyperparameter optimization
(1)
gradient-based optimization
(1)
deep learning
(1)
semi-supervised learning
(1)
fisher information matrix
(1)
gradient descent
(1)
time series
(1)
linear transformation
(1)
natural gradient
(1)
Papers
Ladder Variational Autoencoders
NeurIPS 2016
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
ICML 2016
Bidirectional Recurrent Neural Networks as Generative Models
NeurIPS 2015
Semi-supervised Learning with Ladder Networks
NeurIPS 2015
Iterative Neural Autoregressive Distribution Estimator NADE-k
NeurIPS 2014
Deep Learning Made Easier by Linear Transformations in Perceptrons
AISTATS 2012
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
JMLR 2010
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
JMLR 2010
Building Blocks for Variational Bayesian Learning of Latent Variable Models
JMLR 2007