Liu Yang - School of Computer Science, Carnegie Mellon University

Liu Yang     My CV

7223 GHC, Computer Science Department, Carnegie Mellon University
Pittsburgh, PA 15213-3891
Tel: (517) 526-2509 (cell)     (412) 268-7669 (office)

I recently completed my Ph.D. with Avrim Blum and Jaime Carbonell at Carnegie Mellon University. I'm now a postdoctoral fellow in the Computer Science Department. at CMU. My area of research is Theoretical Machine Learning and Theoritical Computer Science. I'm particularly interested in Statistical and Computational Learning Theory, Property Testing, Algorithmic Economics.

  • New Directions in Machine Learning: Research Statement
  • Teaching Statement
  • Topics I've been working on:
    • Learning with Drifting Concepts and Distributions
    • Sublinear Algorithms: Active Property Testing, Active Tolerant Testing
    • Mechanism Design: Online Allocation/Pricing Problems with Economies of Scale, Correlated Auctions, Repeated Auctions, Prior Estimation applied to Combinatorial Auctions
    • Learning DNF with Representation-Specific Queries
    • Theory of Transfer Learning/Online Learning/Active Learning (Bayesian Active Learning, Minimax Analysis of Active Learning, Active Learning with Convex Losses, Buy-in-Bulk Active Learning)
    • Learning Distance Metrics (DistLearnKit), with applicatoins to Computer Vision, Interactive Search-Assisted Diagnosis (CMU Diamond and Intel Research)


    Preprints and Working Papers

    2013 2012 2011 2010 2009 2008 2007 2006 Services
  • Program Committee: ICML (2012, 2013). Reviewer: SODA (2013), ICML (2009), COLT 2011, CVPR (2012, 2013), ICCV 2013, J. Machine Learning Research, IEEE Trans Pattern Anal Mach Intell. (TPAMI).

  • Lectures and Serminar Talks
    Selected Past Talks Distance Metric Learning: A Comprehensive Survey [slides]
    An Overview of Distance Metric Learning

    [Last updated 2014]