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Kevin Kuo
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2020 – today
- 2024
- [i8]Kevin Kuo, Arian Raje, Kousik Rajesh, Virginia Smith:
Federated LoRA with Sparse Communication. CoRR abs/2406.05233 (2024) - 2023
- [c6]Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith:
On Noisy Evaluation in Federated Hyperparameter Tuning. MLSys 2023 - 2022
- [i7]Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith:
On Noisy Evaluation in Federated Hyperparameter Tuning. CoRR abs/2212.08930 (2022) - 2021
- [c5]Jian Wu, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, C. Lee Giles:
Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data. IEEE BigData 2021: 141-152 - 2020
- [c4]Ko-Yang Wang, Grace Lin, Kevin Kuo, Han-Chao Lee, Brick Tsai, Webster Peng:
An Empirical Study of an Open Ecosystem Model for Inclusive Financial Services. SCC 2020: 412-417 - [c3]Kevin Kuo, Marine Carpuat:
Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays. Fig-Lang@ACL 2020: 192-196 - [c2]Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta
, Kuo-Hao Shu, Tetsuya Ogata:
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. RO-MAN 2020: 384-391 - [i6]Kevin Kuo:
Individual Claims Forecasting with Bayesian Mixture Density Networks. CoRR abs/2003.02453 (2020) - [i5]Kevin Kuo, Daniel Lupton:
Towards Explainability of Machine Learning Models in Insurance Pricing. CoRR abs/2003.10674 (2020) - [i4]Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata:
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation. CoRR abs/2003.14121 (2020) - [i3]Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-yeh Chiang, Tom Goldstein, John P. Dickerson:
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning. CoRR abs/2010.06398 (2020)
2010 – 2019
- 2019
- [i2]Kevin Kuo:
Generative Synthesis of Insurance Datasets. CoRR abs/1912.02423 (2019) - 2018
- [i1]Kevin Kuo
DeepTriangle: A Deep Learning Approach to Loss Reserving. CoRR abs/1804.09253 (2018) - 2013
- [c1]Lichuan Liu, Kevin Kuo, Sen M. Kuo:
Infant cry classification integrated ANC system for infant incubators. ICNSC 2013: 383-387
Coauthor Index
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