Pranay Tankala

Orcid: 0000-0002-4424-0853

According to our database1, Pranay Tankala authored at least 15 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
Differentially Private Verification of Distribution Properties.
CoRR, April, 2026

Efficient Calibration for Decision Making.
Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

The Importance of Being Smoothly Calibrated.
Proceedings of the 7th Symposium on Foundations of Responsible Computing, 2026

2025
Efficient Testing Implies Structured Symmetry.
CoRR, November, 2025

Supersimulators.
CoRR, September, 2025

Differentially Private Learning Beyond the Classical Dimensionality Regime.
Proceedings of the Theory of Cryptography - 23rd International Conference, 2025

From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs.
Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2023
K-Deep Simplex: Manifold Learning via Local Dictionaries.
IEEE Trans. Signal Process., 2023

New Insights into Multi-Calibration.
CoRR, 2023

Privately Estimating a Gaussian: Efficient, Robust, and Optimal.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

From Pseudorandomness to Multi-Group Fairness and Back.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2021
Weighed 𝓁<sub>1</sub> on the simplex: Compressive sensing meets locality.
CoRR, 2021

On the convergence of group-sparse autoencoders.
CoRR, 2021

Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020
Manifold Learning and Deep Clustering with Local Dictionaries.
CoRR, 2020


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