Satchit Sivakumar

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Multiclass Problems

Differential Privacy

Differentially Private

Density Estimation

Top Venues

Publications

Vitaly Feldman, Audra McMillan, Satchit Sivakumar, Kunal Talwar
Instance-Optimal Private Density Estimation in the Wasserstein Distance. CoRR (2024)
Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation. NeurIPS (2023)
Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation. CoRR (2023)
Mark Bun, Marco Gaboardi, Max Hopkins, Russell Impagliazzo, Rex Lei, Toniann Pitassi, Satchit Sivakumar, Jessica Sorrell
Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization. CoRR (2023)
Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith
The Price of Differential Privacy under Continual Observation. ICML (2023)
Mark Bun, Marco Gaboardi, Max Hopkins, Russell Impagliazzo, Rex Lei, Toniann Pitassi, Satchit Sivakumar, Jessica Sorrell
Stability Is Stable: Connections between Replicability, Privacy, and Adaptive Generalization. STOC (2023)
Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith, Marika Swanberg
Differentially Private Sampling from Distributions. CoRR (2022)
Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith, Marika Swanberg
Differentially Private Sampling from Distributions. NeurIPS (2021)
Satchit Sivakumar, Mark Bun, Marco Gaboardi
Multiclass versus Binary Differentially Private PAC Learning. NeurIPS (2021)
Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith
The Price of Differential Privacy under Continual Observation. CoRR (2021)
Mark Bun, Marco Gaboardi, Satchit Sivakumar
Multiclass versus Binary Differentially Private PAC Learning. CoRR (2021)