Hassan Ashtiani
17 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Academic Marathon (9) π Conference Polyglot (5) π Cross-Pollinator (14) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(21)
π§
Keyword Pioneer
π
Cross-Pollinator
(14)
π₯
Unstoppable
(8)
π
Trend Setter
ποΈ
Keyword Collector
(56)
π
Century Club
(17)
Conferences
NIPS (7)
ALT (4)
COLT (3)
ICML (2)
AISTATS (1)
Top co-authors
Research topics
Keywords
sample complexity
(8)
differential privacy
(6)
gaussian distribution
(3)
distribution learning
(3)
pac learning
(3)
robust learning
(3)
mixture of gaussian
(3)
statistical learning
(2)
sample compression
(2)
total variation distance
(2)
hypothesis selection
(2)
recurrent neural network
(2)
gaussian mixture
(2)
query complexity
(1)
stochastic process
(1)
semi-supervised clustering
(1)
machine learning
(1)
parameter estimation
(1)
statistical estimation
(1)
gaussian mixture model
(1)
Papers
Simplifying Adversarially Robust PAC Learning With Tolerance
COLT 2025
Agnostic Private Density Estimation for GMMs via List Global Stability
ALT 2025
Sample-Efficient Private Learning of Mixtures of Gaussians
NIPS 2024
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
COLT 2024
Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples
ALT 2024
Adversarially Robust Learning with Tolerance
ALT 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
ICML 2023
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
NIPS 2023
Private and polynomial time algorithms for learning Gaussians and beyond
COLT 2022
Benefits of Additive Noise in Composing Classes with Bounded Capacity
NIPS 2022
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
ALT 2021
Privately Learning Mixtures of Axis-Aligned Gaussians
NIPS 2021
On the Sample Complexity of Learning Sum-Product Networks
AISTATS 2020
Black-box Certification and Learning under Adversarial Perturbations
ICML 2020
Disentangled behavioural representations
NIPS 2019
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
NIPS 2018
Clustering with Same-Cluster Queries
NIPS 2016