Sushrut Karmalkar
16 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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Conferences
ICML (7)
NIPS (6)
COLT (3)
Top co-authors
Research topics
Keywords
sparse estimation
(3)
robust regression
(3)
generative model
(3)
list-decodable learning
(3)
sparse mean estimation
(3)
compressed sensing
(2)
robust statistics
(2)
sum of square
(2)
relu activation
(2)
learning theory
(2)
adversarial corruption
(2)
approximation algorithm
(2)
mean estimation
(2)
posterior sampling
(2)
square loss
(2)
gradient descent
(2)
gaussian distribution
(2)
high-dimensional statistics
(2)
outlier detection
(2)
lower bound
(2)
Papers
Batch List-Decodable Linear Regression via Higher Moments
ICML 2025
On Learning Parallel Pancakes with Mostly Uniform Weights
ICML 2025
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
NIPS 2024
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
ICML 2024
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions
COLT 2023
First Order Stochastic Optimization with Oblivious Noise
NIPS 2023
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
NIPS 2022
Robust Sparse Mean Estimation via Sum of Squares
COLT 2022
Instance-Optimal Compressed Sensing via Posterior Sampling
ICML 2021
Fairness for Image Generation with Uncertain Sensitive Attributes
ICML 2021
Approximation Schemes for ReLU Regression
COLT 2020
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent
ICML 2020
On the Power of Compressed Sensing with Generative Models
ICML 2020
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
NIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
NIPS 2019
List-decodable Linear Regression
NIPS 2019