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Ashtiani, Hassan
19 publications
ALT
2025
Agnostic Private Density Estimation for GMMs via List Global Stability
Mohammad Afzali
,
Hassan Ashtiani
,
Christopher Liaw
COLT
2025
Simplifying Adversarially Robust PAC Learning with Tolerance
Hassan Ashtiani
,
Vinayak Pathak
,
Ruth Urner
ALT
2024
Mixtures of Gaussians Are Privately Learnable with a Polynomial Number of Samples
Mohammad Afzali
,
Hassan Ashtiani
,
Christopher Liaw
NeurIPS
2024
Sample-Efficient Private Learning of Mixtures of Gaussians
Hassan Ashtiani
,
Mahbod Majid
,
Shyam Narayanan
COLT
2024
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
Alireza F. Pour
,
Hassan Ashtiani
,
Shahab Asoodeh
ALT
2023
Adversarially Robust Learning with Tolerance
Hassan Ashtiani
,
Vinayak Pathak
,
Ruth Urner
NeurIPS
2023
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
Alireza F. Pour
,
Hassan Ashtiani
ICML
2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
Jamil Arbas
,
Hassan Ashtiani
,
Christopher Liaw
NeurIPS
2022
Benefits of Additive Noise in Composing Classes with Bounded Capacity
Alireza Fathollah Pour
,
Hassan Ashtiani
COLT
2022
Private and Polynomial Time Algorithms for Learning Gaussians and Beyond
Hassan Ashtiani
,
Christopher Liaw
ALT
2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
Ishaq Aden-Ali
,
Hassan Ashtiani
,
Gautam Kamath
NeurIPS
2021
Privately Learning Mixtures of Axis-Aligned Gaussians
Ishaq Aden-Ali
,
Hassan Ashtiani
,
Christopher Liaw
ICML
2020
Black-Box Certification and Learning Under Adversarial Perturbations
Hassan Ashtiani
,
Vinayak Pathak
,
Ruth Urner
AISTATS
2020
On the Sample Complexity of Learning Sum-Product Networks
Ishaq Aden-Ali
,
Hassan Ashtiani
NeurIPS
2019
Disentangled Behavioural Representations
Amir Dezfouli
,
Hassan Ashtiani
,
Omar Ghattas
,
Richard Nock
,
Peter Dayan
,
Cheng Soon Ong
NeurIPS
2018
Nearly Tight Sample Complexity Bounds for Learning Mixtures of Gaussians via Sample Compression Schemes
Hassan Ashtiani
,
Shai Ben-David
,
Nicholas Harvey
,
Christopher Liaw
,
Abbas Mehrabian
,
Yaniv Plan
AAAI
2018
Sample-Efficient Learning of Mixtures
Hassan Ashtiani
,
Shai Ben-David
,
Abbas Mehrabian
NeurIPS
2016
Clustering with Same-Cluster Queries
Hassan Ashtiani
,
Shrinu Kushagra
,
Shai Ben-David
UAI
2015
Representation Learning for Clustering: A Statistical Framework
Hassan Ashtiani
,
Shai Ben-David