Caleb Koch

Affiliations:
  • Stanford University, Department of Computer Science, CA, USA


According to our database1, Caleb Koch authored at least 13 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Fast decision tree learning solves hard coding-theoretic problems.
CoRR, 2024

The Sample Complexity of Smooth Boosting and the Tightness of the Hardcore Theorem.
CoRR, 2024

Superconstant Inapproximability of Decision Tree Learning.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

A Strong Direct Sum Theorem for Distributional Query Complexity.
Proceedings of the 39th Computational Complexity Conference, 2024

2023
Automata Learning with an Incomplete Teacher (Artifact).
Dagstuhl Artifacts Ser., 2023

Superpolynomial lower bounds for decision tree learning and testing.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Certification with an NP Oracle.
Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Properly learning decision trees with queries is NP-hard.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

A strong composition theorem for junta complexity and the boosting of property testers.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Automata Learning with an Incomplete Teacher.
Proceedings of the 37th European Conference on Object-Oriented Programming, 2023

2022
The query complexity of certification.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

A query-optimal algorithm for finding counterfactuals.
Proceedings of the International Conference on Machine Learning, 2022

2017
Hyperprofile-Based Computation Offloading for Mobile Edge Networks.
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017


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