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