- Social Network Mining with Nonparametric Relational Models
- Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter
- Logical Hierarchical Hidden Markov Models For Modeling User Activities
- Multi-Relational Learning with Gaussian Processes Zhao Xu, Kristian Kersting
- Symbolic Dynamic Programming for First-order POMDPs Scott Sanner
- Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
- Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
- Exploration in Relational Worlds Tobias Lang1
- Stacked Gaussian Process Learning Marion Neumann,1,2
- Efficient Sequential Clamping for Lifted Message Passing
- Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach
- Identifying Mathematical Models of the Mechanically Ventilated Lung Using Equation Discovery
- Informed Lifting for Message-Passing Kristian Kersting and Youssef El Massaoudi and Babak Ahmadi and Fabian Hadiji
- ILP, the Blind, and the Elephant: Euclidean Embedding of Co-Proven Queries
- Machine Learning Journal manuscript No. (will be inserted by the editor)
- Kernel Conditional Quantile Estimation via Reduction Revisited Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tiberio S. Caetano and Wray L. Buntine
- Fisher Kernels for Relational Data Uwe Dick and Kristian Kersting
- On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving
- Parameter Learning in Probabilistic Databases: A Least Squares Approach
- Topic Models Conditioned on Relations Mirwaes Wahabzada, Zhao Xu, and Kristian Kersting
- Markov Logic Sets: Towards Lifted Information Retrieval using PageRank and Label Propagation
- Logical Hidden Markov Models Logical Hidden Markov Models
- Lifted Belief Propagation: Pairwise Marginals and Beyond Babak Ahmadi and Kristian Kersting and Fabian Hadiji
- JMLR: Workshop and Conference Proceedings 1: xxx-xxx ACML2010 Hierarchical Convex NMF for Clustering Massive Data
- Probabilistic Logic Learning Luc De Raedt
- Lifted Message Passing for Satisfiability Fabian Hadiji and Kristian Kersting and Babak Ahmadi
- Boosting Relational Sequence Alignments Andreas Karwath
- O Scientist, Where Art Thou? Affiliation Propagation for Geo-Referencing Scientific Publications
- Germany Inspires Innovation --Welcome to Europe's Leader in Science
- Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational Domains
- Convex Non-Negative Matrix Factorization in the Wild Christian Thurau, Kristian Kersting, and Christian Bauckhage
- Yes We Can Simplex Volume Maximization for Descriptive Web-Scale Matrix Factorization
- TildeCRF: Conditional Random Fields for Logical Sequences
- Self-Taught Decision Theoretic Planning with First Order Decision Diagrams Saket Joshi
- Journal of Machine Learning Research ? (2007) ?? Submitted 11/05; Revised 10/06; Published ?? Integrating Naive Bayes and FOIL
- Generalized First Order Decision Diagrams for First Order Markov Decision Saket Joshi
- Gaussian Process Models for Colored Graphs Zhao Xu, Kristian Kersting
- Modeling Semantic Cognition as Logical Dimensionality Reduction Yarden Katz, Noah D. Goodman, Kristian Kersting, Charles Kemp, Joshua B. Tenenbaum
- 1 OCTOBER 2010 VOL 330 SCIENCE www.sciencemag.org30 After describing his methods with dozens of
- Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation
- Kristian Kersting Head of "Statistical Relational Activity Mining" ATTRACT research group
- Nonstationary Gaussian Process Regression using Point Estimates of Local Smoothness
- Counting Belief Propagation Kristian Kersting
- More Influence Means Less Work: Fast Latent Dirichlet Allocation by Influence Scheduling
- Lifted Probabilistic Inference with Counting Formulas Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling
- Learning to Hash Logistic Regression for Fast 3D Scan Point Classification
- Relational Gaussian Processes for Learning Preference Relations Kristian Kersting kristian.kersting@iais.fraunhofer.de
- Learning Preferences with Hidden Common Cause Relations
- 1 Bayesian Logic Programming: Theory and Tool
- Symbolic Dynamic Programming Scott Sanner
- Bellman goes Relational Kristian Kersting1
- Kernelized Map Matching Ahmed Jawad and Kristian Kersting
- Where Traffic meets DNA: Mobility Mining using Biological Sequence Analysis Revisited
- Multi-Task Learning with Task Relations Zhao Xu and Kristian Kersting
- Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
- Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study
- Simplex Distributions for Embedding Data Matrices over Time Kristian Kersting
- Mach Learn (2012) 86:2556 DOI 10.1007/s10994-011-5244-9
- Data Min Knowl Disc (2012) 24:325354 DOI 10.1007/s10618-011-0216-z
- Lifted Linear Programming Martin Mladenov Babak Ahmadi Kristian Kersting
- Decision-Theoretic Planning with Generalized First Order Decision Diagrams
