Ankit Pensia
19 papers · 2019–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(2)
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(10)
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(5)
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Keyword Collector
(74)
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Research topics
Machine Learning
(17)
Mathematics & Optimization
(14)
Optimization & Theory
(14)
Mathematics
(8)
Core Methods
(7)
Learning Types
(6)
Optimization
(6)
Application Areas
(2)
Statistics
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Security & Privacy
(1)
Core AI
(1)
Keywords
mean estimation
(7)
robust statistics
(7)
sample complexity
(6)
outlier detection
(4)
sparse estimation
(4)
sparse mean estimation
(3)
statistical learning
(3)
huber contamination
(3)
principal component analysis
(3)
statistical query
(3)
robust estimation
(3)
binary hypothesis testing
(2)
hellinger divergence
(2)
gaussian distribution
(2)
adversarial outlier
(2)
linear regression
(2)
hypothesis testing
(2)
list-decodable learning
(2)
streaming algorithm
(2)
minimax optimality
(1)
Papers
Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error
COLT 2025
The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints
COLT 2025
A Subquadratic Time Algorithm for Robust Sparse Mean Estimation
ICML 2024
Black-Box k-to-1-PCA Reductions: Theory and Applications
COLT 2024
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
ICML 2024
Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data
ALT 2024
The Sample Complexity of Simple Binary Hypothesis Testing
COLT 2024
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
NeurIPS 2023
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
ICML 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
NeurIPS 2023
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
COLT 2023
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
NeurIPS 2022
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
NeurIPS 2022
Robust Sparse Mean Estimation via Sum of Squares
COLT 2022
Streaming Algorithms for High-Dimensional Robust Statistics
ICML 2022
Statistical Query Lower Bounds for List-Decodable Linear Regression
NeurIPS 2021
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
NeurIPS 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
NeurIPS 2020
Deep Topic Models for Multi-label Learning
AISTATS 2019