John Winn
9 papers · 2005–2015 · 3 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
Jump to papers ↓+5 more ↓ Show less ↑
π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (29) π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(6)
π
Trend Setter
ποΈ
Keyword Collector
(54)
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Core Methods
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Learning Types
(3)
Models
(3)
Application Areas
(2)
Computer Vision
(1)
Analysis
(1)
Architectures
(1)
Core AI Β· Computer Vision
(1)
Core AI Β· Artificial Intelligence
(1)
Keywords
variational inference
(5)
message passing
(5)
expectation propagation
(4)
graphical model
(3)
probabilistic inference
(2)
belief propagation
(2)
bayesian network
(2)
approximate inference
(2)
shape analysis
(1)
unsupervised clustering
(1)
causal inference
(1)
structure learning
(1)
feature learning
(1)
appearance modeling
(1)
patch-based model
(1)
clustering
(1)
object detection
(1)
appearance model
(1)
shape detection
(1)
ensemble learning
(1)
Papers
Consensus Message Passing for Layered Graphical Models
AISTATS 2015
Just-In-Time Learning for Fast and Flexible Inference
NeurIPS 2014
Decision Jungles: Compact and Rich Models for Classification
NeurIPS 2013
Learning to Pass Expectation Propagation Messages
NeurIPS 2013
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
AISTATS 2013
Causality with Gates
AISTATS 2012
Gates
NeurIPS 2008
Clustering appearance and shape by learning jigsaws
NeurIPS 2006
Variational Message Passing
JMLR 2005