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Marco Zaffalon

Identifiers

  • name variant Marco Zaffalon 0.60 · backfill

Papers (30)

  1. Automatic Causal Fairness Analysis with LLM-Generated Reporting cs.LG · 2026 · author #4
  2. Bernstein's socks and polynomial-time provable coherence quant-ph · 2019 · author #3
  3. Computational Complexity and the Nature of Quantum Mechanics quant-ph · 2019 · author #3
  4. Computational Complexity and the Nature of Quantum Mechanics (Extended version) quant-ph · 2019 · author #3
  5. Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets cs.AI · 2018 · author #3
  6. Entropy-based Pruning for Learning Bayesian Networks using BIC cs.AI · 2017 · author #4
  7. A polarity theory for sets of desirable gambles math.PR · 2017 · author #4
  8. SOS for bounded rationality math.OC · 2017 · author #4
  9. Quantum rational preferences and desirability quant-ph · 2016 · author #3
  10. Statistical comparison of classifiers through Bayesian hierarchical modelling cs.LG · 2016 · author #5
  11. Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis stat.ML · 2016 · author #4
  12. A Gleason-type theorem for any dimension based on a gambling formulation of Quantum Mechanics quant-ph · 2016 · author #3
  13. Quantum mechanics: The Bayesian theory generalised to the space of Hermitian matrices quant-ph · 2016 · author #3
  14. Learning Bounded Treewidth Bayesian Networks with Thousands of Variables cs.AI · 2016 · author #4
  15. State Space representation of non-stationary Gaussian Processes cs.LG · 2016 · author #2
  16. Desirability and the birth of incomplete preferences cs.AI · 2015 · author #1
  17. Updating with incomplete observations cs.AI · 2014 · author #2
  18. Robust Feature Selection by Mutual Information Distributions cs.AI · 2014 · author #1
  19. Imprecise Dirichlet Process with application to the hypothesis test on the probability that X< Y math.ST · 2014 · author #4
  20. Conservative Inference Rule for Uncertain Reasoning under Incompleteness cs.AI · 2014 · author #1
  21. The Complexity of Approximately Solving Influence Diagrams cs.AI · 2012 · author #3
  22. Solving Limited Memory Influence Diagrams cs.AI · 2011 · author #3
  23. Epistemic irrelevance in credal nets: the case of imprecise Markov trees cs.AI · 2010 · author #4
  24. Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance cs.LG · 2009 · author #2
  25. Learning about a Categorical Latent Variable under Prior Near-Ignorance math.PR · 2007 · author #2
  26. Robust Inference of Trees cs.LG · 2005 · author #1
  27. Distribution of Mutual Information from Complete and Incomplete Data cs.LG · 2004 · author #2
  28. Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection cs.LG · 2003 · author #2
  29. Updating beliefs with incomplete observations cs.AI · 2003 · author #2
  30. Robust Feature Selection by Mutual Information Distributions cs.AI · 2002 · author #1

Mentions

  • 1210.4890 #3 · backfill · confidence 0.70 Marco Zaffalon
  • 1109.1754 #3 · backfill · confidence 0.70 Marco Zaffalon
  • 1008.2514 #4 · backfill · confidence 0.70 Marco Zaffalon
  • 0904.4527 #2 · backfill · confidence 0.70 Marco Zaffalon
  • 0705.4312 #2 · backfill · confidence 0.70 Marco Zaffalon

Frequent Coauthors