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Ruijiang Gao
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Human-AI collaboration with bandit feedback
R Gao, M Saar-Tsechansky, M De-Arteaga, L Han, MK Lee, M Lease
arXiv preprint arXiv:2105.10614, 2021
582021
Proxedit: Improving tuning-free real image editing with proximal guidance
L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
372024
Unsupervised domain adaptation via calibrating uncertainties
L Han, Y Zou, R Gao, L Wang, D Metaxas
CVPR Workshops 9, 2019
342019
Dual projection generative adversarial networks for conditional image generation
L Han, MR Min, A Stathopoulos, Y Tian, R Gao, A Kadav, DN Metaxas
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
252021
Cost-accuracy aware adaptive labeling for active learning
R Gao, M Saar-Tsechansky
Proceedings of the AAAI conference on artificial intelligence 34 (03), 2569-2576, 2020
252020
Probabilistic conformal prediction using conditional random samples
Z Wang, R Gao, M Yin, M Zhou, DM Blei
arXiv preprint arXiv:2206.06584, 2022
232022
Improving negative-prompt inversion via proximal guidance
L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, Y Chen, D Liu, ...
arXiv preprint arXiv:2306.05414 3, 2023
222023
Robust conditional GAN from uncertainty-aware pairwise comparisons
L Han, R Gao, M Kim, X Tao, B Liu, D Metaxas
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10909 …, 2020
182020
Ae-stylegan: Improved training of style-based auto-encoders
L Han, SH Musunuri, MR Min, R Gao, Y Tian, D Metaxas
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
162022
Loss functions for discrete contextual pricing with observational data
M Biggs, R Gao, W Sun
arXiv preprint arXiv:2111.09933, 2021
112021
Enhancing counterfactual classification performance via self-training
R Gao, M Biggs, W Sun, L Han
Proceedings of the AAAI conference on artificial intelligence 36 (6), 6665-6673, 2022
10*2022
Learning complementary policies for human-ai teams
R Gao, M Saar-Tsechansky, M De-Arteaga, L Han, W Sun, MK Lee, ...
arXiv preprint arXiv:2302.02944, 2023
82023
Confounding-robust policy improvement with human-ai teams
R Gao, M Yin
arXiv preprint arXiv:2310.08824, 2023
72023
On the impact of algorithmic recourse on social segregation
R Gao, H Lakkaraju
International Conference on Machine Learning, 10727-10743, 2023
72023
Improving tuning-free real image editing with proximal guidance
L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ...
arXiv preprint arXiv:2306.05414, 2023
22023
Hr-bandit: Human-ai collaborated linear recourse bandit
J Cao, R Gao, E Keyvanshokooh
arXiv preprint arXiv:2410.14640, 2024
12024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
R Gao, M Yin, M Saar-Tsechansky
Advances in Neural Information Processing Systems 37, 40952-40975, 2024
2024
Adjusting regression models for conditional uncertainty calibration
R Gao, M Yin, J Mcinerney, N Kallus
Machine Learning, 1-24, 2024
2024
Advancing human-AI systems: on robustness, decision making, and beyond
R Gao
2024
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
M Yin, R Gao, W Lin, SM Shugan
arXiv preprint arXiv:2310.12026, 2023
2023
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