Liu Yang - School of Computer Science, Carnegie Mellon University (original) (raw)
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)