Chandler Squires

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #35,245 of 35,345 by trust here, #32,362 by citations
• Causal Inference & Discovery — 12 citations into it; #364 of 364 by trust here, #357 by citations
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Chandler Squires trusts overall

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

1. Frederick Eberhardt
2. Tom L. Burr
3. Alain Hauser
4. Joris M. Mooij
5. Karren D. Yang
6. Daniel Eaton
7. Nicolai Meinshausen
8. Richard Scheines
9. Peter Buhlmann
10. Yuhao Wang

Who trusts Chandler Squires overall

1. Philippe Brouillard
2. Sébastien Lachapelle
3. Amin Jaber

Papers from Chandler Squires's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Causation, Prediction, and Search
3. Exact Bayesian structure learning from uncertain interventions
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Equivalence and Synthesis of Causal Models
7. Characterization and greedy learning of interventional Markov equivalence classes of directed acyclic graphs
8. On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Permutation-Based Causal Structure Learning with Unknown Intervention Targets (2019) — 110 citations