Ensembling Graph Predictions for AMR Parsing
- Thanh Lam Hoang
- Gabriele Picco
- et al.
- 2021
- NeurIPS 2021
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63 results for Lam M. Nguyen
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
- Quoc Tran-Dinh
- Nhan Pham
- et al.
- 2021
- NeurIPS 2021
On the Equivalence between Neural Network and Support Vector Machine
- Yilan Chen
- Wei Huang
- et al.
- 2021
- NeurIPS 2021
SMG: A Shuffling Gradient-Based Method with Momentum
- Trang Tran
- Lam Nguyen
- et al.
- 2021
- ICML 2021
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- et al.
- 2020
- NeurIPS 2020
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
- Quoc Tran Dinh
- Deyi Liu
- et al.
- 2020
- NeurIPS 2020
Stochastic gauss-newton algorithms for nonconvex compositional optimization
- Quoc Tran-Dinh
- Nhan H. Pham
- et al.
- 2020
- ICML 2020
Probabilistic Federated Prompt-Tuning in Data Imbalance Settings
- Pei-yau Weng
- Minh Hoang
- et al.
- 2024
- NeurIPS 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- Yunshi Wen
- Tengfei Ma
- et al.
- 2024
- NeurIPS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
- Quoc Tran-Dinh
- Trang H. Tran
- et al.
- 2024
- NeurIPS 2024