Alan S. Willsky
16 papers · 1999–2013 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Champion
(3)
π
Keyword Trendsetter Combo
(6)
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(77)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Mathematics & Optimization
(10)
Core Methods
(10)
Optimization & Theory
(9)
Artificial Intelligence
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(8)
Mathematics
(6)
Bayesian & Probabilistic Β· Machine Learning
(5)
Optimization
(4)
Learning Types
(3)
Data Science & Analytics
(2)
Methods
(2)
Computer Science
(1)
Deep Learning
(1)
Core AI
(1)
Keywords
graphical model
(5)
belief propagation
(5)
gaussian graphical model
(4)
loopy belief propagation
(3)
bayesian nonparametrics
(3)
message passing
(3)
markov chain monte carlo
(2)
variational method
(2)
convergence analysis
(2)
combinatorial optimization
(2)
graphical model selection
(2)
hierarchical dirichlet process
(2)
time series
(2)
linear programming relaxation
(2)
graph algorithm
(2)
ising model
(1)
variational inference
(1)
sparse estimation
(1)
approximate inference
(1)
feature learning
(1)
Papers
Bayesian Nonparametric Hidden Semi-Markov Models
JMLR 2013
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
JMLR 2012
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
NeurIPS 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
JMLR 2011
Learning Latent Tree Graphical Models
JMLR 2011
Classification Using Geometric Level Sets
JMLR 2010
Sharing Features among Dynamical Systems with Beta Processes
NeurIPS 2009
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
NeurIPS 2008
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
NeurIPS 2007
Linear programming analysis of loopy belief propagation for weighted matching
NeurIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
NeurIPS 2007
Message Passing for Max-weight Independent Set
NeurIPS 2007
Walk-Sums and Belief Propagation in Gaussian Graphical Models
JMLR 2006
Loopy Belief Propagation: Convergence and Effects of Message Errors
JMLR 2005
Learning Markov Structure by Maximum Entropy Relaxation
AISTATS 1999
Performance Guarantees for Information Theoretic Active Inference
AISTATS 1999