Revant 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; #6,839 of 12,932 by trust here, #5,126 by citations
- Statistical Learning Theory — 15 citations into it
- Artificial Intelligence — 14 citations into it; #18,795 of 35,345 by trust here, #19,873 by citations
- Probabilistic & Bayesian Methods — 13 citations into it; #1,022 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 Revant Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Revant Kumar overall
Papers from Revant Kumar's perspective
Ordered by how strongly the researchers Revant Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- Information Theory: 1948-1998 - Guest Editorial
- Theory of Reproducing Kernels.
- Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
- Estimation of Non-Normalized Statistical Models by Score Matching
- A Kernel Two-Sample Test
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- Support vector machines
- Universality, Characteristic Kernels and RKHS Embedding of Measures
- Sequential Monte Carlo Methods in Practice
- Kernel Measures of Conditional Dependence
Their papers
- Density Estimation in Infinite Dimensional Exponential Families (2013) — 145 citations