Behrooz Tahmasebi

Orcid: 0000-0001-8544-6623

According to our database1, Behrooz Tahmasebi authored at least 13 papers between 2018 and 2023.

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

Timeline

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Links

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Bibliography

2023
Sample Complexity Bounds for Estimating Probability Divergences under Invariances.
CoRR, 2023

The Exact Sample Complexity Gain from Invariances for Kernel Regression on Manifolds.
CoRR, 2023

The Exact Sample Complexity Gain from Invariances for Kernel Regression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Power of Recursion in Graph Neural Networks for Counting Substructures.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021
The Capacity of Associated Subsequence Retrieval.
IEEE Trans. Inf. Theory, 2021

2020
Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results.
CoRR, 2020

Private Function Computation.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Private Sequential Function Computation.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Optimum Transmission Delay for Function Computation in NFV-Based Networks: The Role of Network Coding and Redundant Computing.
IEEE J. Sel. Areas Commun., 2018

Information theoretic limits of learning of the causal features in a linear model.
Proceedings of the Iran Workshop on Communication and Information Theory, 2018

Information Theory of Mixed Population Genome-Wide Association Studies.
Proceedings of the IEEE Information Theory Workshop, 2018

Genome-Wide Association Studies: Information Theoretic Limits of Reliable Learning.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On the Identifiability of Parameters in the Population Stratification Problem: A Worst-Case Analysis.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018


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