Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Andrew Lan

DiPS: Differentiable Policy for Sketching in Recommender Systems


Dec 08, 2021
Aritra Ghosh, Saayan Mitra, Andrew Lan

* AAAI 2022 with supplementary material 

  Access Paper or Ask Questions

BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing


Aug 17, 2021
Aritra Ghosh, Andrew Lan

* IJCAI 2021 with supplementary material 

  Access Paper or Ask Questions

Math Operation Embeddings for Open-ended Solution Analysis and Feedback


Apr 25, 2021
Mengxue Zhang, Zichao Wang, Richard Baraniuk, Andrew Lan


  Access Paper or Ask Questions

Do We Really Need Gold Samples for Sample Weighting Under Label Noise?


Apr 19, 2021
Aritra Ghosh, Andrew Lan

* WACV 2021 

  Access Paper or Ask Questions

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing


Apr 19, 2021
Aritra Ghosh, Jay Raspat, Andrew Lan

* AIED 2021 

  Access Paper or Ask Questions

Contrastive Learning Improves Model Robustness Under Label Noise


Apr 19, 2021
Aritra Ghosh, Andrew Lan

* Learning from Limited or Imperfect Data (L^2ID) Workshop @ CVPR 2021 

  Access Paper or Ask Questions

Personalized Education in the AI Era: What to Expect Next?


Jan 19, 2021
Setareh Maghsudi, Andrew Lan, Jie Xu, Mihaela van der Schaar


  Access Paper or Ask Questions

Learning Student Interest Trajectory for MOOCThread Recommendation


Jan 16, 2021
Shalini Pandey, Andrew Lan, George Karypis, Jaideep Srivastava

* Accepted at IEEE ICDM Workshop on Continual Learning and Adaptation for Time Evolving Data, 2020 

  Access Paper or Ask Questions

VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics


May 27, 2020
Zichao Wang, Yi Gu, Andrew Lan, Richard Baraniuk


  Access Paper or Ask Questions