Tian Lin
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Neural Logic Machines
H Dong, J Mao, T Lin, C Wang, L Li, D Zhou
arXiv preprint arXiv:1904.11694, 2019
Neural Logic Machines
H Dong, J Mao, T Lin, C Wang, LL Li, D Zhou
International Conference on Learning Representations, 2019
Combinatorial pure exploration of multi-armed bandits
S Chen, T Lin, I King, MR Lyu, W Chen
Advances in neural information processing systems 27, 2014
Robust influence maximization
W Chen, T Lin, Z Tan, M Zhao, X Zhou
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
Real-time Topic-aware Influence Maximization Using Preprocessing
W Chen, T Lin, C Yang
Computational Social Networks 3 (1), 8, 2016
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications
T Lin, B Abrahao, R Kleinberg, JCS Lui, W Chen
Proceedings of the 31st International Conference on Machine Learning 32 (1 …, 2014
Stochastic online greedy learning with semi-bandit feedbacks
T Lin, J Li, W Chen
Advances in Neural Information Processing Systems 28, 2015
Combining traditional marketing and viral marketing with amphibious influence maximization
W Chen, F Li, T Lin, A Rubinstein
Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015
Adaptive mixture of low-rank factorizations for compact neural modeling
T Chen, J Lin, T Lin, S Han, C Wang, D Zhou
NeurIPS'19: Energy Efficient Machine Learning and Cognitive Computing (EMC …, 2018
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference
S Liao, T Chen, T Lin, D Zhou, C Wang
arXiv preprint arXiv:1901.10668, 2019
On the Combinatorial Pure Exploration of Multi-Armed Bandit
Z Tan, T Lin, J Li, W Chen
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