| 2025 | AAAI | BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale. | Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo, Sankalp Nayak |
| 2022 | AISTATS | VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. | Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian |
| 2022 | ICML | VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. | Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian |
| 2020 | AISTATS | Learnable Bernoulli Dropout for Bayesian Deep Learning. | Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian |
| 2020 | ICML | NADS: Neural Architecture Distribution Search for Uncertainty Awareness. | Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian |
| 2019 | AISTATS | Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. | Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian |