Heshan Fernando
Heshan Fernando
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Mitigating gradient bias in multi-objective learning: A provably convergent approach
H Fernando, H Shen, M Liu, S Chaudhury, K Murugesan, T Chen
International Conference on Learning Representations, 2023
Three-way trade-off in multi-objective learning: Optimization, generalization and conflict-avoidance
L Chen, H Fernando, Y Ying, T Chen
Advances in Neural Information Processing Systems 36, 2024
On the stability analysis of open federated learning systems
Y Sun, H Fernando, T Chen, S Shahrampour
2023 American Control Conference (ACC), 867-872, 2023
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
S Zhang, HD Fernando, M Liu, K Murugesan, S Lu, PY Chen, T Chen, ...
arXiv preprint arXiv:2405.15920, 2024
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning
H Fernando, L Chen, S Lu, PY Chen, M Liu, S Chaudhury, K Murugesan, ...
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings
V Sumanasena, H Fernando, D De Silva, B Thileepan, A Pasan, ...
Sensors 24 (1), 185, 2023
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