Smart parking pricing: A machine learning approach. - Eran Simhon; Christopher Liao; David Starobinski (INFOCOM Workshops, 2017)

A case study of a shared/buy-in computing ecosystem. - Christopher Liao; Yonatan Klausner; David Starobinski; Eran Simhon; Azer Bestavros (Clust. Comput., 2018)

Faster Convex Lipschitz Regression via 2-block ADMM. - Ali Siahkamari; Durmus Alp Emre Acar; Christopher Liao; Kelly Geyer; Venkatesh Saligrama; Brian Kulis (CoRR, 2021)

Faster Algorithms for Learning Convex Functions. - Ali Siahkamari; Durmus Alp Emre Acar; Christopher Liao; Kelly L. Geyer; Venkatesh Saligrama; Brian Kulis (ICML, 2022)

Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling. - Christopher Liao; Theodoros Tsiligkaridis; Brian Kulis (CoRR, 2022)

Supervised Metric Learning for Retrieval via Contextual Similarity Optimization. - Christopher Liao; Theodoros Tsiligkaridis; Brian Kulis (CoRR, 2022)

Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization. - Christopher Liao; Theodoros Tsiligkaridis; Brian Kulis (ICML, 2023)

Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. - Christopher Liao; Theodoros Tsiligkaridis; Brian Kulis (CoRR, 2023)

Descriptor and Word Soups Q: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. - Christopher Liao; Theodoros Tsiligkaridis; Brian Kulis (CVPR, 2024)

A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data. - Christopher Liao; Theodoros Tsiligkaridis; Brian Kulis (CoRR, 2024)

Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap. - Christopher Liao; Christian So; Theodoros Tsiligkaridis; Brian Kulis (ICLR, 2025)

Image-Caption Encoding for Improving Zero-Shot Generalization. - Eric Yang Yu; Christopher Liao; Sathvik Ravi; Theodoros Tsiligkaridis; Brian Kulis (WACV, 2025)