Spencer Compton

Orcid: 0009-0009-4161-4651

According to our database1, Spencer Compton authored at least 9 papers between 2020 and 2024.

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Bibliography

2024
Computing Low-Entropy Couplings for Large-Support Distributions.
CoRR, 2024

Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

2023
Average-Case Dimensionality Reduction in 𝓁<sub>1</sub>: Tree Ising Models.
CoRR, 2023

New Partitioning Techniques and Faster Algorithms for Approximate Interval Scheduling.
Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023

Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
A Tighter Approximation Guarantee for Greedy Minimum Entropy Coupling.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Entropic Causal Inference: Graph Identifiability.
Proceedings of the International Conference on Machine Learning, 2022

2020
Edge Matching with Inequalities, Triangles, Unknown Shape, and Two Players.
J. Inf. Process., 2020

Entropic Causal Inference: Identifiability and Finite Sample Results.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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