Pedram Akbarian

According to our database, Pedram Akbarian authored at least 11 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts.

Fanqi Yan, Huy Nguyen, Dung Le, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo

CoRR, May, 2025

Sigmoid Self-Attention is Better than Softmax Self-Attention: A Mixture-of-Experts Perspective.

Fanqi Yan, Huy Nguyen, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo

CoRR, February, 2025

Statistical Advantages of Perturbing Cosine Router in Mixture of Experts.

Huy Nguyen, Pedram Akbarian, Huyen Trang Pham, Thien Trang Nguyen Vu, Shujian Zhang, Nhat Ho

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts.

Fanqi Yan, Huy Nguyen, Le Quang Dung, Pedram Akbarian, Nhat Ho

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts.

Fanqi Yan, Huy Nguyen, Dung Le, Pedram Akbarian, Nhat Ho

CoRR, 2024

Quadratic Gating Functions in Mixture of Experts: A Statistical Insight.

Pedram Akbarian, Huy Nguyen, Xing Han, Nhat Ho

CoRR, 2024

Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts.

Huy Nguyen, Pedram Akbarian, Trang Pham, Trang Nguyen, Shujian Zhang, Nhat Ho

CoRR, 2024

A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts.

Huy Nguyen, Pedram Akbarian, TrungTin Nguyen, Nhat Ho

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?

Huy Nguyen, Pedram Akbarian, Nhat Ho

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Computational Complexity in Statistical Models with Local Curvature Information.

Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts.

Huy Nguyen, Pedram Akbarian, Fanqi Yan, Nhat Ho

Proceedings of the Twelfth International Conference on Learning Representations, 2024