Amiran Ambroladze

Statistical Learning Theory · 2006–2012

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 12 citations into it; #567 of 1,038 by trust here, #836 by citations
• Artificial Intelligence — 7 citations into it; #8,941 of 35,345 by trust here, #20,377 by citations

Whom Amiran Ambroladze trusts overall

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

1. J. Langford
2. John Shawe-Taylor
3. David A. McAllester
4. Peter L. Bartlett
5. Nello Cristianini

Who trusts Amiran Ambroladze overall

1. Ben London
2. Pascal Germain
3. Yevgeny Seldin
4. Asaf Noy
5. Jeffrey Negrea
6. François Laviolette
7. Guy Lever
8. Bert Huang
9. Pierre Alquier
10. Naftali Tishby

Papers from Amiran Ambroladze's perspective

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

1. PAC-Bayesian model averaging
2. PAC-Bayes & Margins
3. Tutorial on Practical Prediction Theory for Classification
4. Kernel Methods for Pattern Analysis
5. Statistical Learning Theory
6. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
7. PAC-Bayesian Stochastic Model Selection
8. Introduction to Support Vector Machines
9. A training algorithm for optimal margin classifiers
10. Covering Number Bounds of Certain Regularized Linear Function Classes

Their papers

• Tighter PAC-Bayes Bounds (2006) — 127 citations
• PAC-bayes bounds with data dependent priors (2012) — 140 citations