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Ruijiang Gao
Ruijiang Gao
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
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
452021
Unsupervised domain adaptation via calibrating uncertainties
L Han, Y Zou, R Gao, L Wang, D Metaxas
CVPR Workshops 9, 2019
352019
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
212020
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, 2023
202023
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
182021
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
162020
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
122022
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
Loss functions for discrete contextual pricing with observational data
M Biggs, R Gao, W Sun
arXiv preprint arXiv:2111.09933, 2021
102021
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
82024
Probabilistic conformal prediction using conditional random samples
Z Wang, R Gao, M Yin, M Zhou, DM Blei
arXiv preprint arXiv:2206.06584, 2022
82022
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
52023
Confounding-Robust Policy Improvement with Human-AI Teams
R Gao, M Yin
arXiv preprint arXiv:2310.08824, 2023
22023
On the impact of algorithmic recourse on social segregation
R Gao, H Lakkaraju
International Conference on Machine Learning, 10727-10743, 2023
22023
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
Imputing counterfactual data to faciltiate machine learning model training
R Gao, W Sun, M Biggs, Y Drissi, M Ettl
US Patent App. 17/654,617, 2023
2023
On the Impact of Actionable Explanations on Social Segregation
R Gao, H Lakkaraju
International Conference on Machine Learning, 2023
2023
Counterfactual self-training
R Gao, W Sun, M Biggs, M Ettl, Y Drissi
US Patent App. 17/402,367, 2023
2023
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance (Supplementary Materials)
L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ...
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