Revanth Kumar

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 17 citations into it; #6,838 of 12,932 by trust here, #5,126 by citations
• Statistical Learning Theory — 15 citations into it
• Artificial Intelligence — 14 citations into it; #18,794 of 35,345 by trust here, #19,873 by citations
• Probabilistic & Bayesian Methods — 13 citations into it; #1,021 of 1,525 by trust here, #945 by citations
• Computer Vision and Pattern Recognition — 5 citations into it
• Control and Systems Engineering — 5 citations into it
• Mathematical Physics — 5 citations into it

Whom Revanth Kumar trusts overall

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

1. Kenji Fukumizu
2. Aapo Hyvärinen
3. Arthur Gretton
4. Bernhard Schölkopf

Who trusts Revanth Kumar overall

1. Arthur Gretton
2. Heiko Strathmann
3. Bharath K. Sriperumbudur
4. Zoltán Szabó
5. Michael Arbel
6. Liang Zhou

Papers from Revanth Kumar's perspective

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

1. Information Theory: 1948-1998 - Guest Editorial
2. Theory of Reproducing Kernels.
3. Estimation of Non-Normalized Statistical Models by Score Matching
4. Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
5. A Kernel Two-Sample Test
6. Support vector machines
7. A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
8. ImageNet classification with deep convolutional neural networks
9. Universality, Characteristic Kernels and RKHS Embedding of Measures
10. Kernel Measures of Conditional Dependence

Their papers

• Density Estimation in Infinite Dimensional Exponential Families (2013) — 145 citations