Pranay Sharma

2018

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Pranay Sharma's perspective

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

1. Information Theory: 1948-1998 - Guest Editorial
2. A Kernel Method for the Two-Sample-Problem
3. Hybrid Decision Making: When Interpretable Models Collaborate With Black-Box Models
4. Scikit-learn: Machine Learning in Python
5. Learning Multiple Layers of Features from Tiny Images
6. Support-Vector Networks
7. Using the Nyström Method to Speed Up Kernel Machines
8. Measuring Statistical Dependence with Hilbert-Schmidt Norms
9. GENERATIVE ADVERSARIAL NETS
10. Kernel independent component analysis

Their papers

• Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory (2018) — 24 citations