Kevin Kuo

18 papers B 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exact Unlearning of Finetuning Data via Model Merging at Scale.
CoRR
Kevin Kuo, Amrith Setlur, Kartik Srinivas, Aditi Raghunathan, Virginia Smith
2025 J jnl
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA.
Trans. Mach. Learn. Res.
Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2025 J jnl
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice.
CoRR
Kevin Kuo, Chhavi Yadav, Virginia Smith
2024 J jnl
Federated LoRA with Sparse Communication.
CoRR
Kevin Kuo, Arian Raje, Kousik Rajesh, Virginia Smith
2024 J jnl
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA.
CoRR
Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain D'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2023 — conf
On Noisy Evaluation in Federated Hyperparameter Tuning.
MLSys
Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith
2022 J jnl
On Noisy Evaluation in Federated Hyperparameter Tuning.
CoRR
Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith
2021 — conf
Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data.
IEEE BigData
Jian Wu, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, C. Lee Giles
2020 — conf
An Empirical Study of an Open Ecosystem Model for Inclusive Financial Services.
SCC
Ko-Yang Wang, Grace Lin, Kevin Kuo, Han-Chao Lee, Brick Tsai, Webster Peng
2020 — conf
Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays.
Fig-Lang@ACL
Kevin Kuo, Marine Carpuat
2020 B conf
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation.
RO-MAN
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata
2020 J jnl
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation.
CoRR
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya Ogata
2020 J jnl
Individual Claims Forecasting with Bayesian Mixture Density Networks.
CoRR
Kevin Kuo
2020 J jnl
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning.
CoRR
Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson
2020 J jnl
Towards Explainability of Machine Learning Models in Insurance Pricing.
CoRR
Kevin Kuo, Daniel Lupton
2019 J jnl
Generative Synthesis of Insurance Datasets.
CoRR
Kevin Kuo
2018 J jnl
DeepTriangle: A Deep Learning Approach to Loss Reserving.
CoRR
Kevin Kuo
2013 — conf
Infant cry classification integrated ANC system for infant incubators.
ICNSC
Lichuan Liu, Kevin Kuo, Sen M. Kuo