Relational Sequence Alignments and Logos.

ILP 
2006 
9 
Symbolic Dynamic Programming for Continuous State and Observation POMDPs.

NIPS/NeurIPS 
2012 
9 
Graph Enhanced Memory Networks for Sentiment Analysis.

ECML/PKDD 
2017 
1 
Balios  The Engine for Bayesian Logic Programs.

ECML/PKDD 
2004 
7 
Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels.

ICDM 
2014 
19 
Yes we can: simplex volume maximization for descriptive webscale matrix factorization.

CIKM 
2010 
48 
Systems AI: A Declarative Learning Based Programming Perspective.

IJCAI 
2018 
7 
Fisher Kernels for Logical Sequences.

ECML/PKDD 
2004 
15 
Topic Models Conditioned on Relations.

ECML/PKDD 
2010 
10 
Parameterizing the Distance Distribution of Undirected Networks.

UAI 
2015 
5 
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders.

RSS 
2007 
47 
Logical Markov Decision Programs and the Convergence of Logical TD(lambda).

ILP 
2004 
25 
PreSymptomatic Prediction of Plant Drought Stress Using DirichletAggregation Regression on Hyperspectral Images.

AAAI 
2012 
12 
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data.

AISTATS 
2012 
7 
Bellman goes relational.

ICML 
2004 
76 
Parameter Learning in Probabilistic Databases: A Least Squares Approach.

ECML/PKDD 
2008 
47 
Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation.

ECML/PKDD 
2011 
15 
Core Dependency Networks.

AAAI 
2018 
3 
Power Iterated Color Refinement.

AAAI 
2014 
23 
Counting Belief Propagation.

UAI 
2009 
136 
Efficient Learning for Hashing Proportional Data.

ICDM 
2012 
4 
More influence means less work: fast latent dirichlet allocation by influence scheduling.

CIKM 
2011 
7 
Robust 3D Scan Point Classification using Associative Markov Networks.

ICRA 
2006 
72 
Informed Lifting for MessagePassing.

AAAI 
2010 
22 
"Say EM" for Selecting Probabilistic Models for Logical Sequences.

UAI 
2005 
21 
Pairwise Markov Logic.

ILP 
2012 
5 
Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach.

ILP 
2017 
11 
Exploiting symmetries for scaling loopy belief propagation and relational training.

MLJ 
2013 
54 
Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data.

MLJ 
2015 
21 
Explanatory Interactive Machine Learning.

AIES 
2019 
5 
Lifted Message Passing as Reparametrization of Graphical Models.

UAI 
2014 
13 
SRL without Tears: An ILP Perspective.

ILP 
2008 
0 
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness.

ECML/PKDD 
2008 
59 
Random SumProduct Networks: A Simple and Effective Approach to Probabilistic Deep Learning.

UAI 
2019 
5 
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models.

ECML/PKDD 
2010 
15 
Stacked Gaussian Process Learning.

ICDM 
2009 
27 
Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants.

UAI 
2012 
4 
Deterministic CUR for Improved LargeScale Data Analysis: An Empirical Study.

SDM 
2012 
10 
Predicting Purchase Decisions in Mobile FreetoPlay Games.

AIIDE 
2015 
41 
Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge.

ILP 
2014 
7 
MultiEvidence Lifted Message Passing, with Application to PageRank and the Kalman Filter.

IJCAI 
2011 
26 
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels.

ACML 
2013 
6 
Relational linear programming.

Artificial Intelligence 
2017 
13 
Integrating Naïve Bayes and FOIL.

JMLR 
2007 
51 
ILP, the Blind, and the Elephant: Euclidean Embedding of Coproven Queries.

ILP 
2009 
2 
Lifted Probabilistic Inference with Counting Formulas.

AAAI 
2008 
163 
Towards Combining Inductive Logic Programming with Bayesian Networks.

ILP 
2001 
107 
Scaled CGEM: A Fast Accelerated EM.

ECML/PKDD 
2003 
5 
Imitation Learning in Relational Domains: A FunctionalGradient Boosting Approach.

IJCAI 
2011 
44 
Symbolic Dynamic Programming for Firstorder POMDPs.

AAAI 
2010 
50 
Learning Using Unselected Features (LUFe).

IJCAI 
2016 
2 
Semantics Derived Automatically from Language Corpora Contain Humanlike Moral Choices.

AIES 
2019 
3 
Decisiontheoretic planning with generalized firstorder decision diagrams.

Artificial Intelligence 
2011 
6 
Exploration in relational domains for modelbased reinforcement learning.

JMLR 
2012 
38 
Lifted Linear Programming.

AISTATS 
2012 
37 
Towards Learning Stochastic Logic Programs from ProofBanks.

AAAI 
2005 
11 
Accelerating Imitation Learning in Relational Domains via Transfer by Initialization.

ILP 
2013 
6 
Inducing Probabilistic ContextFree Grammars for the Sequencing of Movement Primitives.

ICRA 
2018 
3 
Learning ContinuousTime Bayesian Networks in Relational Domains: A NonParametric Approach.

AAAI 
2016 
6 
Fast Active Exploration for LinkBased Preference Learning Using Gaussian Processes.

ECML/PKDD 
2010 
19 
pyGPs: a Python library for Gaussian process regression and classification.

JMLR 
2015 
10 
Kernel Conditional Quantile Estimation via Reduction Revisited.

ICDM 
2009 
24 
Nonparametric policy gradients: a unified treatment of propositional and relational domains.

ICML 
2008 
53 
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation.

AAAI 
2011 
10 
Learning Relational Navigation Policies.

IROS 
2006 
28 
Revising Probabilistic Prolog Programs.

ILP 
2006 
1 
Efficient Lifting of MAP LP Relaxations Using kLocality.

AISTATS 
2014 
17 
Learning Preferences with Hidden Common Cause Relations.

ECML/PKDD 
2009 
14 
Poisson SumProduct Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions.

AAAI 
2017 
18 
SelfTaught Decision Theoretic Planning with First Order Decision Diagrams.

ICAPS 
2010 
19 
SumProduct Autoencoding: Encoding and Decoding Representations Using SumProduct Networks.

AAAI 
2018 
14 
Glocalized WeisfeilerLehman Graph Kernels: GlobalLocal Feature Maps of Graphs.

ICDM 
2017 
14 
Mixed SumProduct Networks: A Deep Architecture for Hybrid Domains.

AAAI 
2018 
33 
Convex Nonnegative Matrix Factorization in the Wild.

ICDM 
2009 
47 
Logical Hierarchical Hidden Markov Models for Modeling User Activities.

ILP 
2008 
38 
Learning predictive terrain models for legged robot locomotion.

IROS 
2008 
54 
Transfer Learning via Relational Type Matching.

ICDM 
2015 
10 
Generalized First Order Decision Diagrams for First Order Markov Decision Processes.

IJCAI 
2009 
15 
Faster Kernels for Graphs with Continuous Attributes via Hashing.

ICDM 
2016 
26 
Mind the Nuisance: Gaussian Process Classification using Privileged Noise.

NIPS/NeurIPS 
2014 
21 
Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning.

EWRL 
2011 
0 
Lifted Online Training of Relational Models with Stochastic Gradient Methods.

ECML/PKDD 
2012 
18 
Relational Logistic Regression.

KR 
2014 
32 
Learning Markov Logic Networks via Functional Gradient Boosting.

ICDM 
2011 
67 
Boosting Relational Sequence Alignments.

ICDM 
2008 
20 
TildeCRF: Conditional Random Fields for Logical Sequences.

ECML/PKDD 
2006 
51 
Fisher Kernels for Relational Data.

ECML/PKDD 
2006 
8 
Hierarchical Convex NMF for Clustering Massive Data.

ACML 
2010 
18 
Stochastic Online Anomaly Analysis for Streaming Time Series.

IJCAI 
2017 
6 
Lifted Probabilistic Inference.

ECAI 
2012 
69 
Learning Through AdviceSeeking via Transfer.

ILP 
2016 
0 
Multitask Learning with Task Relations.

ICDM 
2011 
5 
Logical Hidden Markov Models.

JAIR 
2006 
81 
Gradientbased boosting for statistical relational learning: the Markov logic network and missing data cases.

MLJ 
2015 
21 
Scaling Lifted Probabilistic Inference and Learning Via Graph Databases.

SDM 
2016 
21 
Lifted Filtering via Exchangeable Decomposition.

IJCAI 
2018 
2 
Lifting Relational MAPLPs Using Cluster Signatures.

AAAI 
2014 
9 
Equitable Partitions of Concave Free Energies.

UAI 
2015 
6 
Faster AttendInferRepeat with Tractable Probabilistic Models.

ICML 
2019 
5 
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.

AAAI 
2019 
3 
Lifted Inference for Convex Quadratic Programs.

AAAI 
2017 
4 
nFOIL: Integrating Naïve Bayes and FOIL.

AAAI 
2005 
64 
Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation.

IJCAI 
2015 
6 
Adaptive Bayesian Logic Programs.

ILP 
2001 
51 
Learning to hash logistic regression for fast 3D scan point classification.

IROS 
2010 
20 
Exploration in Relational Worlds.

ECML/PKDD 
2010 
15 
Most likely heteroscedastic Gaussian process regression.

ICML 
2007 
187 
Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach.

ICDM 
2014 
17 
Simplex Distributions for Embedding Data Matrices over Time.

SDM 
2012 
8 
Matrix Factorization as Search.

ECML/PKDD 
2012 
3 
The Symbolic Interior Point Method.

AAAI 
2017 
5 
Efficient Graph Kernels by Randomization.

ECML/PKDD 
2012 
46 
Structure Learning for Relational Logistic Regression: An Ensemble Approach.

KR 
2018 
3 
A unifying view of explicit and implicit feature maps of graph kernels.

DMKD 
2019 
1 
Efficient Symbolic Integration for Probabilistic Inference.

IJCAI 
2018 
7 
MultiRelational Learning with Gaussian Processes.

IJCAI 
2009 
47 
Reduce and ReLift: Bootstrapped Lifted Likelihood Maximization for MAP.

AAAI 
2013 
10 
Automatic Bayesian Density Analysis.

AAAI 
2019 
0 
Propagation kernels: efficient graph kernels from propagated information.

MLJ 
2016 
0 
Gradientbased boosting for statistical relational learning: The relational dependency network case.

MLJ 
2012 
0 
Guest editor's introduction: special issue of the ECML PKDD 2013 journal track.

MLJ 
2013 
0 
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.

MLJ 
2011 
0 
Compressing probabilistic Prolog programs.

MLJ 
2008 
0 
Descriptive matrix factorization for sustainability Adopting the principle of opposites.

DMKD 
2012 
0 
Guest editor's introduction: special issue of the ECML PKDD 2013 journal track.

DMKD 
2013 
0 