Giovanni Pistone

Computational Theory and Mathematics · 1995–2018

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 10 citations into it; #10,037 of 12,182 by trust here, #10,901 by citations
• Statistics and Probability — 8 citations into it; #12,299 of 12,932 by trust here, #10,275 by citations
• Applied Mathematics — 7 citations into it
• Artificial Intelligence — 6 citations into it; #17,004 of 35,345 by trust here, #28,481 by citations
• Management Science and Operations Research — 6 citations into it; #9,764 of 11,946 by trust here, #10,893 by citations
• Probabilistic & Bayesian Methods — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Giovanni Pistone trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shun-ichi Amari
2. Shao-Wei Cheng
3. Lawrence D. Brown
4. Kenny Q. Ye
5. Nikolaus Hansen
6. Pierre-Antoine Absil
7. Asuka Takatsu
8. Daan Wierstra
9. Carlo Sempi
10. Andreas Ostermeier

Who trusts Giovanni Pistone overall

1. A. Ceña
2. Shun-ichi Amari
3. Kenny Q. Ye
4. Sosuke Ito
5. Alessandro Achille
6. Kenji Fukumizu
7. Luigi Malagò
8. A. Dechant
9. Frank Nielsen

Papers from Giovanni Pistone's perspective

Ordered by how strongly the researchers Giovanni Pistone trusts endorse each paper. Same corpus, a different order for every researcher.

1. Natural Gradient Works Efficiently in Learning
2. Information Geometry and Its Applications
3. Natural Evolution Strategies
4. Completely Derandomized Self-Adaptation in Evolution Strategies
5. Estimation of Non-Normalized Statistical Models by Score Matching
6. Fundamentals of statistical exponential families: with applications in statistical decision theory
7. Differential-geometrical methods in statistics
8. Optimization Algorithms on Matrix Manifolds
9. The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning
10. Theory of point estimation

Their papers

• Information Geometry of the Gaussian Distribution in View of Stochastic Optimization (2015) — 66 citations
• Classification of two-level factorial fractions (2000) — 111 citations
• Wasserstein Riemannian geometry of Gaussian densities (2018) — 111 citations
• Exponential statistical manifold (2007) — 85 citations
• Indicator function and complex coding for mixed fractional factorial designs (2007) — 61 citations
• An Infinite-Dimensional Geometric Structure on the Space of all the Probability Measures Equivalent to a Given One (1995)