Name Venue Year Citations
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 web-scale 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
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation 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 Message-Passing. 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 Sum-Product 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 Large-Scale Data Analysis: An Empirical Study. SDM 2012 10
Predicting Purchase Decisions in Mobile Free-to-Play Games. AIIDE 2015 41
Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge. ILP 2014 7
Multi-Evidence 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 Co-proven 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 Functional-Gradient Boosting Approach. IJCAI 2011 44
Symbolic Dynamic Programming for First-order POMDPs. AAAI 2010 50
Learning Using Unselected Features (LUFe). IJCAI 2016 2
Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices. AIES 2019 3
Decision-theoretic planning with generalized first-order decision diagrams. Artificial Intelligence 2011 6
Exploration in relational domains for model-based reinforcement learning. JMLR 2012 38
Lifted Linear Programming. AISTATS 2012 37
Towards Learning Stochastic Logic Programs from Proof-Banks. AAAI 2005 11
Accelerating Imitation Learning in Relational Domains via Transfer by Initialization. ILP 2013 6
Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. ICRA 2018 3
Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. AAAI 2016 6
Fast Active Exploration for Link-Based 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
Non-parametric 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 k-Locality. AISTATS 2014 17
Learning Preferences with Hidden Common Cause Relations. ECML/PKDD 2009 14
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. AAAI 2017 18
Self-Taught Decision Theoretic Planning with First Order Decision Diagrams. ICAPS 2010 19
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. AAAI 2018 14
Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs. ICDM 2017 14
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. AAAI 2018 33
Convex Non-negative 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 Advice-Seeking via Transfer. ILP 2016 0
Multi-task Learning with Task Relations. ICDM 2011 5
Logical Hidden Markov Models. JAIR 2006 81
Gradient-based 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 MAP-LPs Using Cluster Signatures. AAAI 2014 9
Equitable Partitions of Concave Free Energies. UAI 2015 6
Faster Attend-Infer-Repeat 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
Multi-Relational Learning with Gaussian Processes. IJCAI 2009 47
Reduce and Re-Lift: 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
Gradient-based 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
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