Amirreza Shaeiri

According to our database, Amirreza Shaeiri authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting.

Steve Hanneke, Qinglin Meng, Shay Moran, Amirreza Shaeiri

CoRR, May, 2026

An Optimal Sauer Lemma Over k-ary Alphabets.

Steve Hanneke, Qinglin Meng, Shay Moran, Amirreza Shaeiri

CoRR, April, 2026

2025

Non-Uniform Multiclass Learning with Bandit Feedback.

Steve Hanneke, Amirreza Shaeiri, Hongao Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Trichotomy for List Transductive Online Learning.

Steve Hanneke, Amirreza Shaeiri

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Representation Preserving Multiclass Agnostic to Realizable Reduction.

Steve Hanneke, Qinglin Meng, Amirreza Shaeiri

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Universal Rates for Multiclass Learning with Bandit Feedback.

Steve Hanneke, Amirreza Shaeiri, Qian Zhang

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

For Universal Multiclass Online Learning, Bandit Feedback and Full Supervision are Equivalent.

Steve Hanneke, Amirreza Shaeiri, Hongao Wang

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

Multiclass Transductive Online Learning.

Steve Hanneke, Vinod Raman, Amirreza Shaeiri, Unique Subedi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

ARAE: Adversarially robust training of autoencoders improves novelty detection.

Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee

Neural Networks, 2021

2020

Towards Deep Learning Models Resistant to Large Perturbations.

Amirreza Shaeiri, Rozhin Nobahari, Mohammad Hossein Rohban

CoRR, 2020