Shaan Desai

International Conference on Artificial Intelligence and Statistics · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shaan Desai trusts overall

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

1. David Maxwell Chickering
2. Lutz Kilian
3. Xun Zheng
4. Aapo Hyvärinen

Papers from Shaan Desai's perspective

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

1. Optimal Structure Identification With Greedy Search
2. Learning Bayesian networks: The combination of knowledge and statistical data
3. A Linear Non-Gaussian Acyclic Model for Causal Discovery
4. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
5. Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
6. Emergence of Scaling in Random Networks
7. Numerical optimization
8. Searching for the Causal Structure of a Vector Autoregression
9. Learning high-dimensional directed acyclic graphs with latent and selection variables
10. Identifiability of Gaussian structural equation models with equal error variances

Their papers

• DYNOTEARS: Structure Learning from Time-Series Data (2020) — 311 citations