publications

2024

  1. Improving Computational Complexity in Statistical Models with Local Curvature Information
    Pedram Akbarian*, Tongzheng Ren*, Jiacheng Zhuo, Sujay Sanghavi, and Nhat Ho
    In Forty-first International Conference on Machine Learning, 2024
  2. Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
    Huy Nguyen, Pedram Akbarian, and Nhat Ho
    In Forty-first International Conference on Machine Learning, 2024
  3. A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
    Huy Nguyen, Pedram Akbarian, TrungTin Nguyen, and Nhat Ho
    In Forty-first International Conference on Machine Learning, 2024
  4. Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
    Huy Nguyen, Pedram Akbarian, Fanqi Yan, and Nhat Ho
    In The Twelfth International Conference on Learning Representations, 2024

2022

  1. Improving Counterfactual Explanations for Time Series Classification Models in Healthcare Settings
    Tina Han, Jette Henderson, Pedram Akbarian, and Joydeep Ghosh
    In NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022