Vikrant Singhal
10 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (3) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π¬
Deep Specialist
(10)
π₯
Unstoppable
(6)
π
Century Club
(10)
Conferences
NIPS (5)
COLT (3)
ALT (2)
Top co-authors
Research topics
Keywords
differential privacy
(10)
sample complexity
(3)
total variation distance
(2)
gaussian distribution
(2)
covariance estimation
(2)
parameter estimation
(2)
distribution learning
(2)
statistical estimation
(2)
mean estimation
(2)
binary distributions
(1)
gaussian mixture model
(1)
high-dimensional datum
(1)
heavy-tailed distribution
(1)
public datum
(1)
lower bound
(1)
private learning
(1)
gaussian model
(1)
linear subspace
(1)
product distribution
(1)
private estimation
(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
NIPS 2023
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
COLT 2022
Private Estimation with Public Data
NIPS 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
NIPS 2022
Privately Learning Subspaces
NIPS 2021
Private Mean Estimation of Heavy-Tailed Distributions
COLT 2020
Privately Learning High-Dimensional Distributions
COLT 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
NIPS 2019