Hi! I'm Chengtao

I work in the field of machine learning and am broadly interested in generative models, approximate inference, large-scale machine learning, Markov chains and mixing times, matrix approximations, kernel methods and probabilistic numerics.

Before MIT, I was an undergraduate at Yao Class let by Prof. Andrew Yao at Tsinghua University. I had spent a great time working with Prof. Jun Zhu and as an intern at Mricrosoft research labs.

News

Preprints / Tech Reports

  • Distributional Adversarial Networks
    Chengtao Li*, David Alvarez-Melis*, Keyulu Xu, Stefanie Jegelka, Suvrit Sra; [Paper] [Code]
  • Polynomial Time Algorithms for Dual Volume Sampling
    Chengtao Li, Stefanie Jegelka, Suvrit Sra; [Paper]
  • Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes
    Chengtao Li, Stefanie Jegelka, Suvrit Sra; [Paper]

Publications

  • Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
    Zi Wang*, Chengtao Li*, Stefanie Jegelka, Pushmeet Kohli; ICML 2017, [Paper]
  • Neural Program Lattices
    Chengtao Li, Daniel Tarlow, Alex Gaunt, Marc Brockschmidt, Nate Kushman; ICLR 2017, [Paper]
  • Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
    Chengtao Li, Stefanie Jegelka, Suvrit Sra; NIPS 2016, [Paper]
  • Gaussian quadrature for matrix inverse forms with applications
    Chengtao Li, Suvrit Sra, Stefanie Jegelka; ICML 2016, [Paper] [Code]
  • Fast DPP Sampling for Nystro╠łm with Application to Kernel Methods
    Chengtao Li, Stefanie Jegelka, Suvrit Sra; ICML 2016, [Paper] [Code]
  • Efficient Sampling for k-Determinantal Point Processes
    Chengtao Li, Stefanie Jegelka, Suvrit Sra; AISTATS 2016, [Paper] [Code]
  • Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing
    Yuan Zhang, Chengtao Li, Regina Barzilay, Kareem Darwish; NAACL 2015, [Paper] [Code]
  • Bayesian Max-margin Multi-Task Learning with Data Augmentation
    Chengtao Li, Jun Zhu, Jianfei Chen; ICML 2014, [Paper]
  • Structured Output Learning with Candidate Labels for Local Parts
    Chengtao Li, Jianwen Zhang, Zheng Chen; ECML/PKDD 2013, [Paper]
  • Sentiment Topic Model with Decomposed Prior
    Chengtao Li, Jianwen Zhang, Jian-Tao Sun, Zheng Chen; SDM 2013, [Paper]

Contact Me

ctli at mit dot edu