Suchergebnisse

Zeitschriftenartikel (11)

  1. 1.
    Zeitschriftenartikel
    Janzing, D.; Mooij, J.; Zhang, K.; Lemeire, J.; Zscheischler, J.; Daniušis, P.; Steudel, B.; Schölkopf, B.: Information-geometric approach to inferring causal directions. Artificial Intelligence 182-183, S. 1 - 31 (2012)
  2. 2.
    Zeitschriftenartikel
    Peters, J.; Janzing, D.; Schölkopf, B.: Causal Inference on Discrete Data using Additive Noise Models. IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (12), S. 2436 - 2450 (2011)
  3. 3.
    Zeitschriftenartikel
    Allahverdyan, A.; Hovhannisyan , K.; Janzing, D.; Mahler, G.: Thermodynamic limits of dynamic cooling. Physical Review E 84 (4), 041109, S. 1 - 16 (2011)
  4. 4.
    Zeitschriftenartikel
    Janzing, D.; Schölkopf, B.: Causal Inference Using the Algorithmic Markov Condition. IEEE Transactions on Information Theory 56 (10), S. 5168 - 5194 (2010)
  5. 5.
    Zeitschriftenartikel
    Janzing, D.; Steudel, B.: Justifying Additive Noise Model-Based Causal Discovery via Algorithmic Information Theory. Open Systems and Information Dynamics 17 (2), S. 189 - 212 (2010)
  6. 6.
    Zeitschriftenartikel
    Janzing, D.; Wocjan, P.: A promise BQP-complete string rewriting problem. Quantum Information and Computation 10 (3), S. 234 - 257 (2010)
  7. 7.
    Zeitschriftenartikel
    Janzing, D.: On the Entropy Production of Time Series with Unidirectional Linearity. Journal of Statistical Physics 138 (4-5), S. 767 - 779 (2010)
  8. 8.
    Zeitschriftenartikel
    Allahverdyan, A.; Janzing, D.; Mahler, G.: Thermodynamic efficiency of information and heat flow. Journal of Statistical Mechanics: Theory and Experiment 2009 (9), P09011, S. 1 - 35 (2009)
  9. 9.
    Zeitschriftenartikel
    Janzing, D.; Wocjan, P.; Zhang, S.: A Single-shot Measurement of the Energy of Product States in a Translation Invariant Spin Chain Can Replace Any Quantum Computation. New Journal of Physics 10 (8), 093004, S. 1 - 18 (2008)
  10. 10.
    Zeitschriftenartikel
    Allahverdyan, A.; Janzing, D.: Relating the Thermodynamic Arrow of Time to the Causal Arrow. Journal of Statistical Mechanics: Theory and Experiment 2008, P04001, S. 1 - 21 (2008)
  11. 11.
    Zeitschriftenartikel
    Sun, X.; Janzing, D.; Schölkopf, B.: Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods. Neurocomputing 71 (7-9), S. 1248 - 1256 (2008)

Konferenzband (1)

  1. 12.
    Konferenzband
    Causality: Objectives and Assessment. NIPS 2008 Workshop: Causality: Objectives and Assessment , Whistler, BC, Canada, 12. Dezember 2008. (2010)

Konferenzbeitrag (26)

  1. 13.
    Konferenzbeitrag
    Besserve, M.; Shajarisales, N.; Schölkopf, B.; Janzing, D.: Group invariance principles for causal generative models. In: International Conference on Artificial Intelligence and Statistics, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, S. 557 - 565 (Hg. Storkey , A.; Perez-Cruz, F.). 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Playa Blanca, Spain, 09. April 2018 - 11. April 2018. International Machine Learning Society, Madison, WI, USA (2018)
  2. 14.
    Konferenzbeitrag
    Shajarisales, N.; Janzing, D.; Schölkopf, B.; Besserve, M.: Telling Cause from Effect in Deterministic Linear Dynamical Systems. In: International Conference on Machine Learning, 7-9 July 2015, Lille, France, S. 285 - 294 (Hg. Bach , F.; Blei, D.). 32nd International Conference on Machine Learning (ICML 2015), Lille, France. International Machine Learning Society, Madison, WI, USA (2015)
  3. 15.
    Konferenzbeitrag
    Schölkopf, B.; Janzing, D.; Peters, J.; Sgouritsa, E.; Zhang, K.; Mooij, J.: On causal and anticausal learning. In: 29th International Conference on Machine Learning (ICML 2012), S. 1255 - 1262 (Hg. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)
  4. 16.
    Konferenzbeitrag
    Mooij, J.; Janzing, D.; Heskes, T.; Schölkopf, B.: On Causal Discovery with Cyclic Additive Noise Models. In: Advances in Neural Information Processing Systems 24, S. 639 - 647 (Hg. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)
  5. 17.
    Konferenzbeitrag
    Besserve, M.; Janzing, D.; Logothetis, N.; Schölkopf, B.: Finding dependencies between frequencies with the kernel cross-spectral density. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), S. 2080 - 2083. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Praha, Czech Republic, 22. Mai 2011 - 27. Mai 2011. IEEE, Piscataway, NJ, USA (2011)
  6. 18.
    Konferenzbeitrag
    Janzing, D.; Sgouritsa, E.; Stegle, O.; Peters, J.; Schölkopf, B.: Detecting low-complexity unobserved causes. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), S. 383 - 391 (Hg. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)
  7. 19.
    Konferenzbeitrag
    Peters, J.; Mooij, J.; Janzing, D.; Schölkopf, B.: Identifiability of causal graphs using functional models. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), S. 589 - 598 (Hg. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)
  8. 20.
    Konferenzbeitrag
    Zhang, K.; Peters, J.; Janzing, D.; Schölkopf, B.: Kernel-based Conditional Independence Test and Application in Causal Discovery. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), S. 804 - 813 (Hg. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)
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