Vaidehi Srinivas

Orcid: 0009-0003-1947-3975

According to our database1, Vaidehi Srinivas authored at least 9 papers between 2022 and 2025.

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Bibliography

2025
Online Conformal Prediction with Efficiency Guarantees.
CoRR, July, 2025

Competitive strategies to use "warm start" algorithms with predictions.
Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Volume Optimality in Conformal Prediction with Structured Prediction Sets.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Computing High-dimensional Confidence Sets for Arbitrary Distributions.
Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024
New Tools for Smoothed Analysis: Least Singular Value Bounds for Random Matrices with Dependent Entries.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
The Predicted-Deletion Dynamic Model: Taking Advantage of ML Predictions, for Free.
CoRR, 2023

2022
Memory bounds for the experts problem.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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