publications

Please see here for publications.

theses

  1. dissertation
    Toward Robust Machine Learning by Countering Superficial Features
    Wang, Haohan
    2021
  2. dissertation
    Principles of Learning in Multitask Settings: A Probabilistic Perspective
    Al-Shedivat, Maruan
    2021
  3. dissertation
    Towards Training AI Agents with All Types of Experiences: A Standardized ML Formalism
    Hu, Zhiting
    2021
  4. dissertation
    Learning Embodied Agents with Scalably-Supervised Reinforcement Learning
    Lee, Lisa
    2021
  5. dissertation
    Elastic Machine Learning Systems with Co-adaptation
    Qiao, Aurick
    2021
  6. dissertation
    Sample-Specific Models for Precision Medicine
    Lengerich, Benjamin
    2020
  7. dissertation
    Structured Sparse Regression Methods for Learning from High-Dimensional Genomic Data
    Marchetti-Bowick, Micol
    2020
  8. dissertation
    Machine Learning Parallelism Could Be Adaptive, Composable and Automated
    Zhang, Hao
    2020
  9. dissertation
    Learning DAGs with Continuous Optimization
    Zheng, Xun
    2020
  10. dissertation
    Post-Inference Methods for Scalable Probabilistic Modeling and Sequential Decision Making
    Neiswanger, Willie
    2019
  11. dissertation
    Towards Literate Artificial Intelligence
    Sachan, Mrinmaya
    2019
  12. dissertation
    Scheduling for Efficient Large-Scale Machine Learning Training
    Wei, Jinliang
    2019
  13. dissertation
    Learning with Staleness
    Dai, Wei
    2018
  14. dissertation
    Framework Design for Improving Computational Efficiency and Programming Productivity for Distributed Machine Learning
    Kim, Jin Kyu
    2018
  15. dissertation
    Diversity-promoting and Large-scale Machine Learning for Healthcare
    Xie, Pengtao
    2018
  16. dissertation
    Spectral Probabilistic Modeling and Applications to Natural Language Processing
    Parikh, Ankur
    2015
  17. dissertation
    Structured Sparse Models and Algorithms for Genetic Analaysis
    Lee, Seunghak
    2015
  18. dissertation
    Towards Scalable Analysis of Images and Videos
    Zhao, Bin
    2014
  19. dissertation
    Modeling Large Social Networks in Context
    Ho, Qirong
    2014
  20. dissertation
    An integrative computational framework for defining asthma endotypes
    Howrylak, JA
    2013
  21. dissertation
    Reconstruction and Applications of Collective Storylines from Web Photo Collections
    Kim, Gunhee
    2013
  22. dissertation
    Uncovering Structure in High-Dimensions: Networks and Multi-task Learning Problems
    Kolar, Mladen
    2013
  23. dissertation
    Spatiotemporal gene networks from ISH images
    Puniyani, Kriti
    2013
  24. dissertation
    The geometry of constrained structured prediction: applications to inference and learning of natural language syntax
    Martins, André Filipe Torres
    2012
  25. dissertation
    Computational Methods for Analyzing the Architecture and Evolution of the Regulatory Genome
    Ray, Pradipta
    2012
  26. dissertation
    Statistical Methods for studying Genetic Variation in Populations
    Shringarpure, Suyash
    2012
  27. dissertation
    Modeling Content and Users: Structured Probabilistic Representation and Scalable Online Inference Algorithms
    Ahmed, Amr
    2011
  28. dissertation
    Using Visualization and Automation to Accelerate Genetics Discovery
    Curtis, Ross Eugene
    2011
  29. dissertation
    Structured Probabilistic Models of Proteins across Spatial and Fitness Landscapes
    Kamichetty, Hetunandan
    2011
  30. dissertation
    Learning Ancestral Genetic Processes using Nonparametric Bayesian Models
    Sohn, Kyung-Ah
    2011
  31. dissertation
    Theoretical foundations of active learning
    Hanneke, Steve
    2009
  32. dissertation
    Statistical alignment models for translational equivalence
    Zhao, Bing
    2007