James Cussens
12 papers · 2000–2023 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (7)
π
Renaissance Researcher
(5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
πΊ
Lone Wolf
(3)
π§¬
Topic Evolution
π
Keyword Champion
(3)
π
Century Club
(12)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
Conferences
PGM (6)
AAAI (1)
AISTATS (1)
CLEAR (1)
CONLL (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
graphical model
(6)
structure learning
(5)
bayesian network
(5)
combinatorial optimization
(4)
integer programming
(4)
cutting plane
(2)
integer linear programming
(2)
bayesian network structure learning
(2)
causal discovery
(2)
chordal graph
(2)
chordal graph polytope
(2)
convex hull
(1)
probabilistic graphical model
(1)
approximation algorithm
(1)
kernel alignment
(1)
markov random field
(1)
causal graph
(1)
mixed datum
(1)
directed acyclic graph
(1)
model averaging
(1)
Papers
Branch-Price-and-Cut for Causal Discovery
CLEAR 2023
Kernel-based Approach for Learning Causal Graphs from Mixed Data
PGM 2020
On Pruning for Score-Based Bayesian Network Structure Learning
AISTATS 2020
GOBNILP: Learning Bayesian network structure with integer programming
PGM 2020
Dual Formulation of the Chordal Graph Conjecture
PGM 2020
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations
PGM 2020
Finding All Bayesian Network Structures within a Factor of Optimal
AAAI 2019
Markov Random Field MAP as Set Partitioning
PGM 2018
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract)
IJCAI 2017
The Chordal Graph Polytope for Learning Decomposable Models
PGM 2016
Introduction to the Special Issue on Inductive Logic Programming
JMLR 2003
Incorporating Linguistics Constraints into Inductive Logic Programming
CONLL 2000