Lan, Andrew S.

7 publications

AAAI 2023 DiFA: Differentiable Feature Acquisition Aritra Ghosh, Andrew S. Lan

AAAI 2022 DiPS: Differentiable Policy for Sketching in Recommender Systems Aritra Ghosh, Saayan Mitra, Andrew S. Lan

IJCAI 2021 BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing Aritra Ghosh, Andrew S. Lan

CVPRW 2021 Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh, Andrew S. Lan

ECML-PKDD 2018 Personalized Thread Recommendation for MOOC Discussion Forums Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang

IJCAI 2017 RHash: Robust Hashing via L_infinity-Norm Distortion Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk

JMLR 2014 Sparse Factor Analysis for Learning and Content Analytics Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk