Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
- Minh Hoang
- Trong Nghia Hoang
- et al.
- 2020
- NeurIPS 2020
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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14 results for Trong Nghia Hoang
Learning task-agnostic embedding of multiple black-box experts for multi-task model fusion
- Trong Nghia Hoang
- Chi Thanh Lam
- et al.
- 2020
- ICML 2020
CASTER: Predicting drug interactions with chemical substructure representation
- Kexin Huang
- Cao Xiao
- et al.
- 2020
- AAAI 2020
Statistical model aggregation via parameter matching
- Mikhail Yurochkin
- Mayank Agarwal
- et al.
- 2019
- NeurIPS 2019
Bayesian nonparametric federated learning of neural networks
- Mikhail Yurochkin
- Mayank Agarwal
- et al.
- 2019
- ICML 2019
Collective model fusion for multiple black-box experts
- Quang Minh Hoang
- Trong Nghia Hoang
- et al.
- 2019
- ICML 2019
Collective online learning of gaussian processes in massive multi-agent systems
- Trong Nghia Hoang
- Quang Minh Hoang
- et al.
- 2019
- AAAI 2019
CHEER: Rich Model Helps Poor Model via Knowledge Infusion
- Cao Xiao
- Trong Nghia Hoang
- et al.
- 2022
- IEEE TKDE
Verifiably safe exploration for end-to-end reinforcement learning
- Nathan Hunt
- Nathan Fulton
- et al.
- 2021
- HSCC 2021
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
- Tengfei Ma
- Trong Nghia Hoang
- et al.
- 2023
- UAI 2023