Publications

Randy Ardywibowo, Rakesh Sunki, Lucy Kuo, Sankalp Nayak (2025). BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale. AAAI 2025 (Full Talk).

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Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian (2022). VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. ICML 2022 (Spotlight Talk).

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Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian (2022). VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks. AISTATS 2022.

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Randy Ardywibowo, Venkata Ravi Kiran Dayana, Hau Hwang (2022). Dynamic Quantization for Energy Efficient Deep Learning. U.S. Patent App..

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Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian (2020). NADS: Neural Architecture Distribution Search for Uncertainty Awareness. ICML 2020.

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Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian (2020). Learnable Bernoulli Dropout for Bayesian Deep Learning. AISTATS 2020.

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Ziyu Jiang, Randy Ardywibowo, Aven Samereh, Heather L. Evans, William B. Lober, Xiangyu Chang, Xiaoning Qian, Zhangyang Wang, Shuai Huang (2019). A Roadmap for Automatic Surgical Site Infection Detection and Evaluation Using User-Generated Incision Images. Surgical Infections 2019.

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Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian (2019). Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. AISTATS 2019.

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Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian (2018). Switching-State Dynamical Modeling of Daily Behavioral Data. JHIR 2018.

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Randy Ardywibowo (2017). Analyzing Daily Behavioral Data for Personalized Health Management. Undergraduate Thesis 2017.

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