Spencer Gordon

According to our database1, Spencer Gordon authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Two Choices Are Enough for P-LCPs, USOs, and Colorful Tangents.
Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

Identification of mixtures of discrete product distributions in near-optimal sample and time complexity.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Identifiability of Product of Experts Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
The Identification of Discrete Mixture Models.
PhD thesis, 2023

Causal Discovery under Latent Class Confounding.
CoRR, 2023

Causal Inference Despite Limited Global Confounding via Mixture Models.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022
Hadamard Extensions and the Identification of Mixtures of Product Distributions.
IEEE Trans. Inf. Theory, 2022

2021
Identifying Mixtures of Bayesian Network Distributions.
CoRR, 2021

On the computational equivalence of co-NP refutations of a matrix being a P-matrix.
CoRR, 2021

Hadamard Powers and the Identification of Mixtures of Products.
CoRR, 2021

Condition number bounds for causal inference.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Source Identification for Mixtures of Product Distributions.
Proceedings of the Conference on Learning Theory, 2021

2020
Unique end of potential line.
J. Comput. Syst. Sci., 2020

The Sparse Hausdorff Moment Problem, with Application to Topic Models.
CoRR, 2020

2018
End of Potential Line.
CoRR, 2018

2017
CLS: New Problems and Completeness.
CoRR, 2017

Extending Parikh's Theorem to Weighted and Probabilistic Context-Free Grammars.
Proceedings of the Quantitative Evaluation of Systems - 14th International Conference, 2017


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