Thesis

My PhD manuscript can be found here

Preprints

• Data Depth as a Risk A. Castellanos and P. Mozharovskyi (in submission to Journal of Machine Learning Research)
• Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators
  A. Castellanos, A. Korba, P. Mozharovskyi, and H. Janati (in submission to Information and Inference journal)
• Fast kernel half-space depth for data with non-convex supports
  A. Castellanos, P. Mozharovskyi, F. d’Alché-Buc and H. Janati (in submission to Statistical Papers)

Journal publications

• Quantum communication complexity of distribution testing
  A.Belovs, A. Castellanos, F. Le Gall, G. Malod, and A. A. Sherstov, Quantum Information and Computation

Other

• Contribution to 2024 Hi! PARIS White Book “Visions of Research” (p.48-50)

Reviewing services done for:

• Computational Statistics & Data Analysis journal
• Journal of Statistical Planning and Inference
• Journal of Machine Learning Research