Pranay Tankala

According to our database, Pranay Tankala authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs.

Cynthia Dwork, Chris Hays, Nicole Immorlica, Juan C. Perdomo, Pranay Tankala

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Differentially Private Learning Beyond the Classical Dimensionality Regime.

Cynthia Dwork, Pranay Tankala, Linjun Zhang

CoRR, 2024

2023

K-Deep Simplex: Manifold Learning via Local Dictionaries.

Abiy Tasissa, Pranay Tankala, James M. Murphy, Demba E. Ba

IEEE Trans. Signal Process., 2023

New Insights into Multi-Calibration.

Cynthia Dwork, Daniel Lee, Huijia Lin, Pranay Tankala

CoRR, 2023

Privately Estimating a Gaussian: Efficient, Robust, and Optimal.

Daniel Alabi, Pravesh K. Kothari, Pranay Tankala, Prayaag Venkat, Fred Zhang

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

From Pseudorandomness to Multi-Group Fairness and Back.

Cynthia Dwork, Daniel Lee, Huijia Lin, Pranay Tankala

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2021

Weighed 𝓁₁ on the simplex: Compressive sensing meets locality.

Abiy Tasissa, Pranay Tankala, Demba E. Ba

CoRR, 2021

On the convergence of group-sparse autoencoders.

Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala, Abiy Tasissa, Demba E. Ba

CoRR, 2021

Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality.

Abiy Tasissa, Pranay Tankala, Demba E. Ba

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020

Manifold Learning and Deep Clustering with Local Dictionaries.

Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba

CoRR, 2020