Vikrant Singhal
10 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (13)
🔬
Deep Specialist
(10)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
differential privacy
(10)
sample complexity
(3)
mean estimation
(3)
parameter estimation
(2)
gaussian distribution
(2)
statistical estimation
(2)
distribution learning
(2)
total variation distance
(2)
covariance estimation
(2)
binary distributions
(1)
gaussian mixture model
(1)
high-dimensional data
(1)
heavy-tailed distribution
(1)
public data
(1)
lower bound
(1)
polynomial time algorithm
(1)
private learning
(1)
gaussian model
(1)
linear subspace
(1)
product distribution
(1)
Papers
A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions
ALT 2024
Not All Learnable Distribution Classes are Privately Learnable
ALT 2024
Private Distribution Learning with Public Data: The View from Sample Compression
NeurIPS 2023
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
COLT 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
NeurIPS 2022
Private Estimation with Public Data
NeurIPS 2022
Privately Learning Subspaces
NeurIPS 2021
Private Mean Estimation of Heavy-Tailed Distributions
COLT 2020
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
NeurIPS 2019
Privately Learning High-Dimensional Distributions
COLT 2019