Dominik Janzing

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012

Causal Inference on Time Series using Structural Equation Models

[BibT_eX]

[DOI]

Jonas Peters

CoRR, 2012

Information-geometric approach to inferring causal directions.

[BibT_eX]

[DOI]

Artif. Intell., 2012

On causal and anticausal learning.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Causal Inference on Discrete Data Using Additive Noise Models.

[BibT_eX]

[DOI]

Jonas Peters

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Robust Learning via Cause-Effect Models

[BibT_eX]

[DOI]

CoRR, 2011

Testing whether linear equations are causal: A free probability theory approach.

[BibT_eX]

[DOI]

Jakob Zscheischler

Kun Zhang

Proceedings of the UAI 2011, 2011

Kernel-based Conditional Independence Test and Application in Causal Discovery.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Identifiability of Causal Graphs using Functional Models.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Detecting low-complexity unobserved causes.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

On Causal Discovery with Cyclic Additive Noise Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Finding dependencies between frequencies with the kernel cross-spectral density.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Causal inference using the algorithmic Markov condition.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

A promiseBQP-complete string rewriting problem.

[BibT_eX]

[DOI]

Quantum Inf. Comput., 2010

Justifying Additive Noise Model-Based Causal Discovery via Algorithmic Information Theory.

[BibT_eX]

[DOI]

Bastian Steudel

Open Syst. Inf. Dyn., 2010

Identifying Cause and Effect on Discrete Data using Additive Noise Models.

[BibT_eX]

[DOI]

Jonas Peters

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Distinguishing between cause and effect.

[BibT_eX]

[DOI]

Joris M. Mooij

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Causality: Objectives and Assessment.

[BibT_eX]

[DOI]

Isabelle Guyon

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Is there a physically universal cellular automaton or Hamiltonian?

[BibT_eX]

[DOI]

CoRR, 2010

Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery.

[BibT_eX]

[DOI]

Kun Zhang

Proceedings of the UAI 2010, 2010

Inferring deterministic causal relations.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Probabilistic latent variable models for distinguishing between cause and effect.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Telling cause from effect based on high-dimensional observations.

[BibT_eX]

[DOI]

Patrik O. Hoyer

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Causal Markov Condition for Submodular Information Measures.

[BibT_eX]

[DOI]

Bastian Steudel

Proceedings of the COLT 2010, 2010

2009

Identifying confounders using additive noise models.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Detecting the direction of causal time series.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Regression by dependence minimization and its application to causal inference in additive noise models.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

09401 Abstracts Collection - Machine learning approaches to statistical dependences and causality.

[BibT_eX]

[DOI]

Steffen L. Lauritzen

Proceedings of the Machine learning approaches to statistical dependences and causality, 27.09., 2009

Quantum Entropy.

[BibT_eX]

[DOI]

Proceedings of the Compendium of Quantum Physics, 2009

Entropy of Entanglement.

[BibT_eX]

[DOI]

Proceedings of the Compendium of Quantum Physics, 2009

2008

Measuring 4-local qubit observables could probabilistically solve PSPACE.

[BibT_eX]

[DOI]

Thomas Decker

Quantum Inf. Comput., 2008

Causal reasoning by evaluating the complexity of conditional densities with kernel methods.

[BibT_eX]

[DOI]

Neurocomputing, 2008

How much is a quantum controller controlled by the controlled system?

[BibT_eX]

[DOI]

Thomas Decker

Appl. Algebra Eng. Commun. Comput., 2008

Nonlinear causal discovery with additive noise models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Kernel Methods for Detecting the Direction of Time Series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007

A Simple PromiseBQP-complete Matrix Problem.

[BibT_eX]

[DOI]

Theory Comput., 2007

A kernel-based causal learning algorithm.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions.

[BibT_eX]

[DOI]

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Exploring the causal order of binary variables via exponential hierarchies of Markov kernels.

[BibT_eX]

[DOI]

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Learning causality by identifying common effects with kernel-based dependence measures.

[BibT_eX]

[DOI]

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

Computer science approach to quantum control

[BibT_eX]

[DOI]

PhD thesis, 2006

Guest editorial.

[BibT_eX]

[DOI]

Jörn Müller-Quade

Inform. Forsch. Entwickl., 2006

Quantum computing models as a tool box for controlling and understanding the nanoscopic world.

[BibT_eX]

[DOI]

Inform. Forsch. Entwickl., 2006

Causal Inference by Choosing Graphs with Most Plausible Markov Kernels.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

Computer science approach to quantum control.

[BibT_eX]

[DOI]

Univeristätsverlag Karlsruhe, ISBN: 978-3-86644-083-8, 2006

2005

Ergodic Quantum Computing.

[BibT_eX]

[DOI]

Quantum Inf. Process., 2005

Über den Zusammenhang zwischen thermodynamisch reversiblem, kryptograpisch seitenkanalfreiem sowie quantenkohärentem Rechnen.

[BibT_eX]

[DOI]

Proceedings of the 35. Jahrestagung der Gesellschaft für Informatik, 2005

2003

Quasi-order of clocks and their synchronism and quantum bounds for copying timing information.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2003

Treating the Independent Set Problem by 2D Ising Interactions with Adiabatic Quantum Computing.

[BibT_eX]

[DOI]

Quantum Inf. Process., 2003

Two QCMA-complete problems.

[BibT_eX]

[DOI]

Quantum Inf. Comput., 2003

On The Computational Power Of Physical Interactions: Bounds On The Number Of Time Steps For Simulating Arbitrary Interaction Graphs.

[BibT_eX]

[DOI]

Int. J. Found. Comput. Sci., 2003

Reliable and Efficient Inference of Bayesian Networks from Sparse Data by Statistical Learning Theory

[BibT_eX]

[DOI]

Daniel Herrmann

CoRR, 2003

2002

Universal simulation of Hamiltonians using a finite set of control operations.

[BibT_eX]

[DOI]

Quantum Inf. Comput., 2002

Simulating arbitrary pair-interactions by a given Hamiltonian: graph-theoretical bounds on the time-complexity.

[BibT_eX]

[DOI]

Quantum Inf. Comput., 2002

Quantum algorithm for measuring the eigenvalues of U ⊗ U<sup>-1</sup> for a black-box unitary transformation U.

[BibT_eX]

[DOI]

Quantum Inf. Comput., 2002

Quantum algorithm for measuring the energy of n qubits with unknown pair-interactions.

[BibT_eX]

[DOI]

Quantum Inf. Comput., 2002

Required sample size for learning sparse Bayesian networks with many variables

[BibT_eX]

[DOI]

CoRR, 2002

2001

On using quantum protocols to detect traffic analysis.

[BibT_eX]

[DOI]

Rainer Steinwandt

Quantum Inf. Comput., 2001

Lower Bound on the Chromatic Number by Spectra of Weighted Adjacency Matrices

[BibT_eX]

[DOI]