Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- Yunshi Wen
- Tengfei Ma
- et al.
- 2024
- NeurIPS 2024
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64 results for Lam M. Nguyen
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
- Quoc Tran-Dinh
- Trang H. Tran
- et al.
- 2024
- NeurIPS 2024
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
- Marten Van Dijk
- Nhuong Nguyen
- et al.
- 2024
- ICML 2024
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
- Lam Nguyen
- Trang H. Tran
- 2023
- NeurIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels
- Yilan Chen
- Wei Huang
- et al.
- 2023
- NeurIPS 2023
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
- Wang Zhang
- Tsui-Wei Weng
- et al.
- 2023
- ICML 2023
Label-free Concept Bottleneck Models
- Tuomas Oikarinen
- Subhro Das
- et al.
- 2023
- ICLR 2023
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
- Trang H. Tran
- Katya Scheinberg
- et al.
- 2022
- ICML 2022
Interpretable Clustering via Multi-Polytope Machines
- Connor Lawless
- Jayant Kalagnanam
- et al.
- 2022
- AAAI 2022
Tight dimension independent lower bound on the expected convergence rate for diminishing step sizes in sgd
- Phuong Ha Nguyen
- Lam Nguyen
- et al.
- 2019
- NeurIPS 2019