Journal
  1. A Geometric View of Conjugate Priors [pdf][abstract][arXiv] Arvind Agarwal and Hal Daume III; Machine Learning Journal (MLJ) 2010. (Best Student Paper)

    Conferences

  2. Efficient Methods for Predictive Action Strategy Optimization for Risk Driven Multi-channel Communication [pdf] Arvind Agarwal and Nathan Gnanasambandam; The 11th IEEE International Conference on Services Computing (SCC 2014), Anchorage, Alaska, USA
  3. Learning to Rank for Robust Question Answering [pdf] Arvind Agarwal and Hema Raghavan and Karthik Subbian and Prem Melville and David Gondek and Richard Lawrence; 21st ACM International Conference on Information and Knowledge Management (CIKM) 2012.
  4. Generative Kernels for Exponential Families [pdf][ Arvind Agarwal and Hal Daume III; International Conference on Artificial Intelligence and Statistics (AISTATS), Ft. Lauderdale, Florida, USA, April 2011.
  5. Learning Multiple Tasks using Manifold Regularization [pdf]Arvind Agarwal and Hal Daume III and Samuel Gerber; Conference on Neural Information Processing Systems (NIPS), 2010
  6. A Unified Algorithmic Framework for Multi-Dimensional Scaling [pdf][Code] Arvind Agarwal and Jeff M. Phillips and Suresh Venkatasubramanian; 16th Annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2010.
  7. Exponential Family Hybrid Semi-Supervised Learning [pdf]Arvind Agarwal and Hal Daume III; International Joint Conference on Artificial Intelligence (IJCAI) 2009.

    Workshops

  8. WS2F: A Weakly Supervised Framework for Data Stream Filtering, Cailing Dong and Arvind Agarwal, The 2nd Workshop on Scalable Machine Learning: Theory and Applications, in Conjunction with The IEEE International Conference on Big Data (IEEE BigData 2014) 
  9. Feature Analysis for Computational Personality Recognition Using YouTube Personality Data set. Chandrima Sarkar and Sumit Bhatia and Arvind Agarwal and Juan Li, Workshop on Computational Personality Recognition, 2014
  10. Multitask Learning for Sequence Labeling Tasks. Arvind Agarwal and Saurabh Kataria, The International Workshop on Multi-Target Prediction, at ECML 2014, Nancy, France.
  11. Issue Status and Dialogue Act Prediction for Asynchronous Online Social Media User Engagement [pdf]  Arvind Agarwal and Saurabh Kataria; 2nd Workshop on User Engagement Optimization (UEO), KDD 2014. 
  12. Large Scale Robust Sensor Network Localization [pdf] Arvind Agarwal and Hal Daume III and Jeff M. Phillips and Suresh Venkatasubramanian; 2nd IEEE ICDM International Workshop on Data Mining in Networks (DaMNet). December 2012.
  13. Multitask Learning using Transformation Functions[pdf] W Arvind Agarwal and Hal Daume III; The Learning Workshop 2010, Snowbird, Utah.
  14. Incremental Multi-Dimensional Scaling[pdf] Arvind Agarwal and Jeff M. Phillips and Hal Daume III and Suresh Venkatasubramanian; The Learning Workshop 2010, Snowbird, Utah.