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Pedram Akbarian

9 papers hereh-index 6116 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author8

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • stat.ML6
  • cs.LG3

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedA General Theory for Softmax Gating Multinomial Logistic Mixture of Experts

2 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

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

Fanqi Yan, Huy Nguyen, Dung Le +2

We conduct the convergence analysis of parameter estimation in the contaminated mixture of experts. This model is motivated from the prompt learning problem where ones utilize prom…

stat.ML2024

Quadratic Gating Mixture of Experts: Statistical Insights into Self-Attention

Pedram Akbarian, Huy Nguyen, Xing Han +1

Mixture of Experts (MoE) models are well known for effectively scaling model capacity while preserving computational overheads. In this paper, we establish a rigorous relation betw…

stat.ML2024

Statistical Advantages of Perturbing Cosine Router in Mixture of Experts

Huy Nguyen, Pedram Akbarian, Trang Pham +3

The cosine router in Mixture of Experts (MoE) has recently emerged as an attractive alternative to the conventional linear router. Indeed, the cosine router demonstrates favorable…

stat.ML2024

Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?

Huy Nguyen, Pedram Akbarian, Nhat Ho

Dense-to-sparse gating mixture of experts (MoE) has recently become an effective alternative to a well-known sparse MoE. Rather than fixing the number of activated experts as in th…

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