Gautam Chandrasekaran

Orcid: 0009-0002-2443-8675

According to our database1, Gautam Chandrasekaran authored at least 8 papers between 2021 and 2025.

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

Timeline

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Links

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Bibliography

2025
Learning Juntas under Markov Random Fields.
CoRR, June, 2025

Learning the Sherrington-Kirkpatrick Model Even at Low Temperature.
Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Efficient Discrepancy Testing for Learning with Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Learning in online MDPs: is there a price for handling the communicating case?
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2021
Online Learning in Adversarial MDPs: Is the Communicating Case Harder than Ergodic?
CoRR, 2021


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